30. AAAI 2016: Phoenix, Arizona, USA

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  Dale Schuurmans, Michael P. Wellman:
  Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. AAAI Press 2016, ISBN 978-1-57735-760-5
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  Mohammad Raihanul Islam, K. S. M. Tozammel Hossain, Siddharth Krishnan, Naren Ramakrishnan:
  Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices. 4-12
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  Meng Jiang, Peng Cui, Nicholas Jing Yuan, Xing Xie, Shiqiang Yang:
  Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds. 13-19
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  Ronghua Liang, Xiaorui Jiang:
  Scientific Ranking over Heterogeneous Academic Hypernetwork. 20-26
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  Zeming Lin, Jack Lanchantin, Yanjun Qi:
  MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction. 27-34
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  Eric Lofgren, Anil Vullikanti:
  Hospital Stockpiling Problems with Inventory Sharing. 35-41
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  Yuan Luo, Yu Xin, Rohit Joshi, Leo A. Celi, Peter Szolovits:
  Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements. 42-50
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  Yuting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal:
  Learning to Generate Posters of Scientific Papers. 51-57
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  Shuyang Wang, Yun Fu:
  Face Behind Makeup. 58-64
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  Yang Yang, Jia Jia, Boya Wu, Jie Tang:
  Social Role-Aware Emotion Contagion in Image Social Networks. 65-71
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  Jianfei Zhang, Lifei Chen, Alain Vanasse, Josiane Courteau, Shengrui Wang:
  Survival Prediction by an Integrated Learning Criterion on Intermittently Varying Healthcare Data. 72-78
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  Chuan Zhou, Weixue Lu, Peng Zhang, Jia Wu, Yue Hu, Li Guo:
  On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks. 79-86

Technical Papers: AI and the Web

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  Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua:
  From Tweets to Wellness: Wellness Event Detection from Twitter Streams. 87-93
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  Prakhar Biyani, Kostas Tsioutsiouliklis, John Blackmer:
  "8 Amazing Secrets for Getting More Clicks": Detecting Clickbaits in News Streams Using Article Informality. 94-100
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  Bor-Chun Chen, Yan-Ying Chen, Francine Chen, Dhiraj Joshi:
  Business-Aware Visual Concept Discovery from Social Media for Multimodal Business Venue Recognition. 101-107
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  Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Deren Chen:
  Capturing Semantic Correlation for Item Recommendation in Tagging Systems. 108-114
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  Zhi-Hong Deng, Hongliang Yu, Yunlun Yang:
  Identifying Sentiment Words Using an Optimization Model with L1 Regularization. 115-121
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  Hanyin Fang, Fei Wu, Zhou Zhao, Xinyu Duan, Yueting Zhuang, Martin Ester:
  Community-Based Question Answering via Heterogeneous Social Network Learning. 122-128
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  Hancheng Ge, James Caverlee:
  College Towns, Vacation Spots, and Tech Hubs: Using Geo-Social Media to Model and Compare Locations. 129-136
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  Jing He, Xin Li, Lejian Liao, Dandan Song, William K. Cheung:
  Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns. 137-143
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  Ruining He, Julian McAuley:
  VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback. 144-150
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  Wei He, Zhongjun He, Hua Wu, Haifeng Wang:
  Improved Neural Machine Translation with SMT Features. 151-157
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  Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang:
  A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs. 158-164
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  Yongpo Jia, Xuemeng Song, Jingbo Zhou, Li Liu, Liqiang Nie, David S. Rosenblum:
  Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction. 165-171
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  Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang:
  Detect Overlapping Communities via Ranking Node Popularities. 172-178
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  Zhao Kang, Chong Peng, Qiang Cheng:
  Top-N Recommender System via Matrix Completion. 179-185
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  Virgile Landeiro Dos Reis, Aron Culotta:
  Robust Text Classification in the Presence of Confounding Bias. 186-193
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  Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
  Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts. 194-200
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  Ye Liu, Luming Zhang, Liqiang Nie, Yan Yan, David S. Rosenblum:
  Fortune Teller: Predicting Your Career Path. 201-207
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  Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu:
  Predicting Online Protest Participation of Social Media Users. 208-214
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  Yafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji:
  Context-Sensitive Twitter Sentiment Classification Using Neural Network. 215-221
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  Mehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Manuel Blum:
  ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources. 222-228
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  Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Darius Braziunas:
  On the Effectiveness of Linear Models for One-Class Collaborative Filtering. 229-235
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  Sungryull Sohn, Hyunwoo Kim, Junmo Kim:
  Supervised Hashing via Uncorrelated Component Analysis. 236-242
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  Niket Tandon, Charles Hariman, Jacopo Urbani, Anna Rohrbach, Marcus Rohrbach, Gerhard Weikum:
  Commonsense in Parts: Mining Part-Whole Relations from the Web and Image Tags. 243-250
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  Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu:
  Recommendation with Social Dimensions. 251-257
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  Jacopo Urbani, Ceriel J. H. Jacobs, Markus Krötzsch:
  Column-Oriented Datalog Materialization for Large Knowledge Graphs. 258-264
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  Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang:
  Semantic Community Identification in Large Attribute Networks. 265-271
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  Bo Wu, Tao Mei, Wen-Huang Cheng, Yongdong Zhang:
  Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition. 272-278
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  Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang:
  Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective. 279-286
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  Tianxing Wu, Guilin Qi, Haofen Wang, Kang Xu, Xuan Cui:
  Cross-Lingual Taxonomy Alignment with Bilingual Biterm Topic Model. 287-293
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  Liang Xie, Jialie Shen, Lei Zhu:
  Online Cross-Modal Hashing for Web Image Retrieval. 294-300
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  Jinyoung Yeo, Jin-Woo Park, Seung-won Hwang:
  Understanding Emerging Spatial Entities. 301-307
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  Quanzeng You, Jiebo Luo, Hailin Jin, Jianchao Yang:
  Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark. 308-314
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  Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King:
  STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation. 315-322

Technical Papers: Cognitive Modeling and Cognitive Systems

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  Owain Evans, Andreas Stuhlmüller, Noah D. Goodman:
  Learning the Preferences of Ignorant, Inconsistent Agents. 323-329
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  Taiki Miyanishi, Junichiro Hirayama, Quan Kong, Takuya Maekawa, Hiroki Moriya, Takayuki Suyama:
  Egocentric Video Search via Physical Interactions. 330-337

Technical Papers: Computational Sustainability and AI

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  Quanjun Chen, Xuan Song, Harutoshi Yamada, Ryosuke Shibasaki:
  Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference. 338-344
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  Daniel Urieli, Peter Stone:
  Autonomous Electricity Trading Using Time-of-Use Tariffs in a Competitive Market. 345-352

Technical Papers: Game Playing and Interactive Entertainment

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  Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen:
  Reuse of Neural Modules for General Video Game Playing. 353-359
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  Nikolai Yakovenko, Liangliang Cao, Colin Raffel, James Fan:
  Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games Using Convolutional Networks. 360-368

Technical Papers: Game Theory and Economic Paradigms

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  Markus Brill, Rupert Freeman, Vincent Conitzer:
  Computing Possible and Necessary Equilibrium Actions (and Bipartisan Set Winners). 369-375
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  AmirMahdi Ahmadinejad, Sina Dehghani, MohammadTaghi Hajiaghayi, Brendan Lucier, Hamid Mahini, Saeed Seddighin:
  From Duels to Battlefields: Computing Equilibria of Blotto and Other Games. 376-382
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  Michael Albert, Vincent Conitzer, Giuseppe Lopomo:
  Maximizing Revenue with Limited Correlation: The Cost of Ex-Post Incentive Compatibility. 383-389
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  Elliot Anshelevich, Shreyas Sekar:
  Blind, Greedy, and Random: Algorithms for Matching and Clustering Using Only Ordinal Information. 390-396
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  Haris Aziz, Omer Lev, Nicholas Mattei, Jeffrey S. Rosenschein, Toby Walsh:
  Strategyproof Peer Selection: Mechanisms, Analyses, and Experiments. 397-403
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  Nicola Basilico, Giuseppe De Nittis, Nicola Gatti:
  A Security Game Combining Patrolling and Alarm-Triggered Responses Under Spatial and Detection Uncertainties. 404-410
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  Xiaohui Bei, Wei Chen, Jugal Garg, Martin Hoefer, Xiaoming Sun:
  Learning Market Parameters Using Aggregate Demand Queries. 411-417
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  Simina Brânzei, Ioannis Caragiannis, David Kurokawa, Ariel D. Procaccia:
  An Algorithmic Framework for Strategic Fair Division. 418-424
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  Matthew Brown, Arunesh Sinha, Aaron Schlenker, Milind Tambe:
  One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats. 425-431
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  Noam Brown, Tuomas Sandholm:
  Strategy-Based Warm Starting for Regret Minimization in Games. 432-438
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  Jiri Cermak, Branislav Bosanský, Karel Durkota, Viliam Lisý, Christopher Kiekintveld:
  Using Correlated Strategies for Computing Stackelberg Equilibria in Extensive-Form Games. 439-445
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  Pak Hay Chan, Xin Huang, Zhengyang Liu, Chihao Zhang, Shengyu Zhang:
  Assignment and Pricing in Roommate Market. 446-452
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  Ning Chen, Xiaotie Deng, Bo Tang, Hongyang Zhang:
  Incentives for Strategic Behavior in Fisher Market Games. 453-459
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  Vincent Conitzer, Rupert Freeman, Markus Brill, Yuqian Li:
  Rules for Choosing Societal Tradeoffs. 460-467
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  Marco Costantini, Carla Groenland, Ulle Endriss:
  Judgment Aggregation under Issue Dependencies. 468-474
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  Edith Elkind, Angelo Fanelli, Michele Flammini:
  Price of Pareto Optimality in Hedonic Games. 475-481
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  Piotr Faliszewski, Piotr Skowron, Arkadii M. Slinko, Nimrod Talmon:
  Multiwinner Analogues of the Plurality Rule: Axiomatic and Algorithmic Perspectives. 482-488
• 
  Gabriele Farina, Nicola Gatti:
  Ad Auctions and Cascade Model: GSP Inefficiency and Algorithms. 489-495
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  Michal Feldman, Amos Fiat, Svetlana Obraztsova:
  Variations on the Hotelling-Downs Model. 496-501
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  Rafael M. Frongillo, Jens Witkowski:
  A Geometric Method to Construct Minimal Peer Prediction Mechanisms. 502-508
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  Nicola Gatti, Marcello Restelli:
  Sequence-Form and Evolutionary Dynamics: Realization Equivalence to Agent Form and Logit Dynamics. 509-515
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  Michael P. Kim, Warut Suksompong, Virginia Vassilevska Williams:
  Who Can Win a Single-Elimination Tournament? 516-522
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  David Kurokawa, Ariel D. Procaccia, Junxing Wang:
  When Can the Maximin Share Guarantee Be Guaranteed? 523-529
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  Jérôme Lang, Piotr Krzysztof Skowron:
  Multi-Attribute Proportional Representation. 530-536
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  Aron Laszka, Jian Lou, Yevgeniy Vorobeychik:
  Multi-Defender Strategic Filtering Against Spear-Phishing Attacks. 537-543
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  Viliam Lisý, Trevor Davis, Michael H. Bowling:
  Counterfactual Regret Minimization in Sequential Security Games. 544-550
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  Yicheng Liu, Pingzhong Tang, Tingting Xu, Hang Zheng:
  Optimizing Trading Assignments in Water Right Markets. 551-557
• 
  Thomas Lukasiewicz, Enrico Malizia:
  On the Complexity of mCP-nets. 558-564
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  Vijay Menon, Kate Larson:
  Reinstating Combinatorial Protections for Manipulation and Bribery in Single-Peaked and Nearly Single-Peaked Electorates. 565-571
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  Matej Moravcik, Martin Schmid, Karel Ha, Milan Hladík, Stephen J. Gaukrodger:
  Refining Subgames in Large Imperfect Information Games. 572-578
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  Dominik Peters:
  Complexity of Hedonic Games with Dichotomous Preferences. 579-585
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  Dominik Peters:
  Graphical Hedonic Games of Bounded Treewidth. 586-593
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  Dominik Peters, Edith Elkind:
  Preferences Single-Peaked on Nice Trees. 594-600
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  Benjamin Plaut, John P. Dickerson, Tuomas Sandholm:
  Fast Optimal Clearing of Capped-Chain Barter Exchanges. 601-607
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  Ariel D. Procaccia, Nisarg Shah:
  Optimal Aggregation of Uncertain Preferences. 608-614
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  Akihisa Sonoda, Taiki Todo, Makoto Yokoo:
  False-Name-Proof Locations of Two Facilities: Economic and Algorithmic Approaches. 615-621
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  Mateusz Krzysztof Tarkowski, Piotr L. Szczepanski, Talal Rahwan, Tomasz P. Michalak, Michael Wooldridge:
  Closeness Centrality for Networks with Overlapping Community Structure. 622-629
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  Paolo Turrini:
  Computing Rational Decisions In Extensive Games With Limited Foresight. 630-636
• 
  Zhen Wang, Yue Yin, Bo An:
  Computing Optimal Monitoring Strategy for Detecting Terrorist Plots. 637-643
• 
  Lirong Xia:
  Quantitative Extensions of the Condorcet Jury Theorem with Strategic Agents. 644-650
• 
  Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-chih Lee, Hang Qi, Quan Lu:
  Lift-Based Bidding in Ad Selection. 651-657
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  Mengchen Zhao, Bo An, Christopher Kiekintveld:
  Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks. 658-665

Technical Papers: Heuristic Search and Optimization

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  Hiromasa Arai, Crystal Maung, Ke Xu, Haim Schweitzer:
  Unsupervised Feature Selection by Heuristic Search with Provable Bounds on Suboptimality. 666-672
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  Masataro Asai, Alex S. Fukunaga:
  Tiebreaking Strategies for A* Search: How to Explore the Final Frontier. 673-679
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  Joydeep Banerjee, Gurulingesh Raravi, Manoj Gupta, Sindhu K. Ernala, Shruti Kunde, Koustuv Dasgupta:
  CAPReS: Context Aware Persona Based Recommendation for Shoppers. 680-686
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  Tristan Cazenave, Abdallah Saffidine, Michael John Schofield, Michael Thielscher:
  Nested Monte Carlo Search for Two-Player Games. 687-693
• 
  Rina Dechter, Kalev Kask, William Lam, Javier Larrosa:
  Look-Ahead with Mini-Bucket Heuristics for MPE. 694-701
• 
  Alexandre Fréchette, Neil Newman, Kevin Leyton-Brown:
  Solving the Station Repacking Problem. 702-709
• 
  Robert Ganian, Sebastian Ordyniak:
  The Complexity Landscape of Decompositional Parameters for ILP. 710-716
• 
  Yuu Jinnai, Alex Fukunaga:
  Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search. 717-723
• 
  Elias Boutros Khalil, Pierre Le Bodic, Le Song, George L. Nemhauser, Bistra N. Dilkina:
  Learning to Branch in Mixed Integer Programming. 724-731
• 
  Sixue Liu, Periklis A. Papakonstantinou:
  Local Search for Hard SAT Formulas: The Strength of the Polynomial Law. 732-738
• 
  Canyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan:
  Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting. 739-745
• 
  Steve Rabin, Nathan R. Sturtevant:
  Combining Bounding Boxes and JPS to Prune Grid Pathfinding. 746-752
• 
  Changkyu Song, Sejong Yoon, Vladimir Pavlovic:
  Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty. 753-759
• 
  Marcel Steinmetz, Jörg Hoffmann:
  Towards Clause-Learning State Space Search: Learning to Recognize Dead-Ends. 760-768
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  Roni Stern, Meir Kalech, Hilla Shinitzky:
  Implementing Troubleshooting with Batch Repair. 769-775
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  Satya Gautam Vadlamudi, Subbarao Kambhampati:
  A Combinatorial Search Perspective on Diverse Solution Generation. 776-783
• 
  Richard Anthony Valenzano, Fan Xie:
  On the Completeness of Best-First Search Variants That Use Random Exploration. 784-790
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  Biao Wang, Ge Chen, Luoyi Fu, Li Song, Xinbing Wang, Xue Liu:
  DRIMUX: Dynamic Rumor Influence Minimization with User Experience in Social Networks. 791-797
• 
  Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su:
  Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization. 798-804
• 
  Yiyuan Wang, Shaowei Cai, Minghao Yin:
  Two Efficient Local Search Algorithms for Maximum Weight Clique Problem. 805-811
• 
  Chen Xu, Zhouchen Lin, Zhenyu Zhao, Hongbin Zha:
  Relaxed Majorization-Minimization for Non-Smooth and Non-Convex Optimization. 812-818
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  Haifeng Zhang, Yevgeniy Vorobeychik:
  Submodular Optimization with Routing Constraints. 819-826

Technical Papers: Human-Computation and Crowd Sourcing

• 
  Liyiming Ke, Bo Li, Yevgeniy Vorobeychik:
  Behavioral Experiments in Email Filter Evasion. 827-834

Technical Papers: Humans and AI

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  David Cohen, Ian Lane:
  An Oral Exam for Measuring a Dialog System's Capabilities. 835-841
• 
  Priel Levy, David Sarne:
  Intelligent Advice Provisioning for Repeated Interaction. 842-849
• 
  Makoto Otsuka, Takayuki Osogami:
  A Deep Choice Model. 850-856
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  Avraham Shvartzon, Amos Azaria, Sarit Kraus, Claudia V. Goldman, Joachim Meyer, Omer Tsimhoni:
  Personalized Alert Agent for Optimal User Performance. 857-864

Technical Papers: Knowledge Representation and Reasoning

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  Basma Alharbi, Abdulhakim Ali Qahtan, Xiangliang Zhang:
  Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces. 865-871
• 
  Thomas E. Allen, Judy Goldsmith, Hayden Elizabeth Justice, Nicholas Mattei, Kayla Raines:
  Generating CP-Nets Uniformly at Random. 872-878
• 
  Mario Alviano, Wolfgang Faber, Hannes Strass:
  Boolean Functions with Ordered Domains in Answer Set Programming. 879-885
• 
  Francesco Belardinelli, Wiebe van der Hoek:
  A Semantical Analysis of Second-Order Propositional Modal Logic. 886-892
• 
  Vaishak Belle, Gerhard Lakemeyer, Hector J. Levesque:
  A First-Order Logic of Probability and Only Knowing in Unbounded Domains. 893-899
• 
  Meghyn Bienvenu, Camille Bourgaux, François Goasdoué:
  Explaining Inconsistency-Tolerant Query Answering over Description Logic Knowledge Bases. 900-906
• 
  Benjamin Bittner, Marco Bozzano, Alessandro Cimatti, Gianni Zampedri:
  Automated Verification and Tightening of Failure Propagation Models. 907-913
• 
  Elise Bonzon, Jérôme Delobelle, Sébastien Konieczny, Nicolas Maudet:
  A Comparative Study of Ranking-Based Semantics for Abstract Argumentation. 914-920
• 
  Elena Botoeva, Diego Calvanese, Valerio Santarelli, Domenico Fabio Savo, Alessandro Solimando, Guohui Xiao:
  Beyond OWL 2 QL in OBDA: Rewritings and Approximations. 921-928
• 
  Simone Bova:
  SDDs Are Exponentially More Succinct than OBDDs. 929-935
• 
  Melisachew Wudage Chekol:
  On the Containment of SPARQL Queries under Entailment Regimes. 936-942
• 
  Bernardo Cuenca Grau, Egor V. Kostylev:
  Logical Foundations of Privacy-Preserving Publishing of Linked Data. 943-949
• 
  Giuseppe De Giacomo, Yves Lespérance, Fabio Patrizi, Sebastian Sardiña:
  Verifying ConGolog Programs on Bounded Situation Calculus Theories. 950-956
• 
  Daniel de Leng, Fredrik Heintz:
  Qualitative Spatio-Temporal Stream Reasoning with Unobservable Intertemporal Spatial Relations Using Landmarks. 957-963
• 
  Eduard Eiben, Robert Ganian, Sebastian Ordyniak:
  Using Decomposition-Parameters for QBF: Mind the Prefix! 964-970
• 
  Valeria Fionda, Gianluigi Greco:
  The Complexity of LTL on Finite Traces: Hard and Easy Fragments. 971-977
• 
  Tomi Janhunen, Shahab Tasharrofi, Eugenia Ternovska:
  SAT-to-SAT: Declarative Extension of SAT Solvers with New Propagators. 978-984
• 
  Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao:
  Knowledge Graph Completion with Adaptive Sparse Transfer Matrix. 985-991
• 
  Yantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xueqi Cheng:
  Locally Adaptive Translation for Knowledge Graph Embedding. 992-998
• 
  Brendan Juba:
  Learning Abductive Reasoning Using Random Examples. 999-1007
• 
  Boris Konev, Ana Ozaki, Frank Wolter:
  A Model for Learning Description Logic Ontologies Based on Exact Learning. 1008-1015
• 
  Jérôme Lang, Marija Slavkovik, Srdjan Vesic:
  Agenda Separability in Judgment Aggregation. 1016-1022
• 
  Thomas Lukasiewicz, Maria Vanina Martinez, Livia Predoiu, Gerardo I. Simari:
  Basic Probabilistic Ontological Data Exchange with Existential Rules. 1023-1029
• 
  Michael J. Maher:
  Resistance to Corruption of Strategic Argumentation. 1030-1036
• 
  Christopher A. Merck, Samantha Kleinberg:
  Causal Explanation Under Indeterminism: A Sampling Approach. 1037-1043
• 
  Tim Miller, Paolo Felli, Christian J. Muise, Adrian R. Pearce, Liz Sonenberg:
  'Knowing Whether' in Proper Epistemic Knowledge Bases. 1044-1050
• 
  Marie-Laure Mugnier, Marie-Christine Rousset, Federico Ulliana:
  Ontology-Mediated Queries for NOSQL Databases. 1051-1057
• 
  Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata:
  Zero-Suppressed Sentential Decision Diagrams. 1058-1066
• 
  Somdeb Sarkhel, Deepak Venugopal, Tuan Anh Pham, Parag Singla, Vibhav Gogate:
  Scalable Training of Markov Logic Networks Using Approximate Counting. 1067-1073
• 
  Siddharth Srivastava, Stuart J. Russell, Alessandro Pinto:
  Metaphysics of Planning Domain Descriptions. 1074-1080
• 
  Cyril J. Stark:
  Expressive Recommender Systems through Normalized Nonnegative Models. 1081-1087
• 
  Johannes Peter Wallner, Andreas Niskanen, Matti Järvisalo:
  Complexity Results and Algorithms for Extension Enforcement in Abstract Argumentation. 1088-1094
• 
  Hai Wan, Heng Zhang, Peng Xiao, Haoran Huang, Yan Zhang:
  Query Answering with Inconsistent Existential Rules under Stable Model Semantics. 1095-1101
• 
  Zhe Wang, Ling-Yu Duan, Tiejun Huang, Wen Gao:
  Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Compact Learn Binary Codes. 1102-1108
• 
  Benjamin Zarrieß, Jens Claßen:
  Decidable Verification of Golog Programs over Non-Local Effect Actions. 1109-1115
• 
  Haodi Zhang, Fangzhen Lin:
  Mapping Action Language BC to Logic Programs: A Characterization by Postulates. 1116-1123

Technical Papers: Machine Learning Applications

• 
  Pedro Ballester, Ricardo Matsumura de Araújo:
  On the Performance of GoogLeNet and AlexNet Applied to Sketches. 1124-1128
• 
  Ernesto Brau, Colin Reimer Dawson, Alfredo Carrillo, David Sidi, Clayton T. Morrison:
  Bayesian Inference of Recursive Sequences of Group Activities from Tracks. 1129-1137
• 
  Liujuan Cao, Rongrong Ji, Cheng Wang, Jonathan Li:
  Towards Domain Adaptive Vehicle Detection in Satellite Image by Supervised Super-Resolution Transfer. 1138-1144
• 
  Shaosheng Cao, Wei Lu, Qiongkai Xu:
  Deep Neural Networks for Learning Graph Representations. 1145-1152
• 
  Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang:
  Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation. 1153-1159
• 
  Hao Chen, Qi Dou, Xi Wang, Jing Qin, Pheng-Ann Heng:
  Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks. 1160-1166
• 
  Hao Chen, Xiaojuan Qi, Jie-Zhi Cheng, Pheng-Ann Heng:
  Deep Contextual Networks for Neuronal Structure Segmentation. 1167-1173
• 
  Lin Chen, Forrest W. Crawford, Amin Karbasi:
  Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling. 1174-1180
• 
  Zhengming Ding, Yun Fu:
  Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions. 1181-1187
• 
  Lianli Gao, Jingkuan Song, Feiping Nie, Fuhao Zou, Nicu Sebe, Heng Tao Shen:
  Graph-without-cut: An Ideal Graph Learning for Image Segmentation. 1188-1194
• 
  Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan:
  MOOCs Meet Measurement Theory: A Topic-Modelling Approach. 1195-1201
• 
  Derrall Heath, Dan Ventura:
  Creating Images by Learning Image Semantics Using Vector Space Models. 1202-1208
• 
  Lu Hou, James T. Kwok, Jacek M. Zurada:
  Efficient Learning of Timeseries Shapelets. 1209-1215
• 
  Jia Jia, Jie Huang, Guangyao Shen, Tao He, Zhiyuan Liu, Huan-Bo Luan, Chao Yan:
  Learning to Appreciate the Aesthetic Effects of Clothing. 1216-1222
• 
  Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu:
  Consensus Style Centralizing Auto-Encoder for Weak Style Classification. 1223-1229
• 
  Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou:
  Column Sampling Based Discrete Supervised Hashing. 1230-1236
• 
  Chia-Tung Kuo, Ian Davidson:
  A Framework for Outlier Description Using Constraint Programming. 1237-1243
• 
  Qiang Li, Wei Bian, Richard Yi Da Xu, Jane You, Dacheng Tao:
  Random Mixed Field Model for Mixed-Attribute Data Restoration. 1244-1250
• 
  Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang:
  Learning with Marginalized Corrupted Features and Labels Together. 1251-1257
• 
  Hong Liu, Rongrong Ji, Yongjian Wu, Wei Liu:
  Towards Optimal Binary Code Learning via Ordinal Embedding. 1258-1265
• 
  Li Liu, Li Cheng, Ye Liu, Yongpo Jia, David S. Rosenblum:
  Recognizing Complex Activities by a Probabilistic Interval-Based Model. 1266-1272
• 
  Zitao Liu, Milos Hauskrecht:
  Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data. 1273-1279
• 
  Andrea Loreggia, Yuri Malitsky, Horst Samulowitz, Vijay A. Saraswat:
  Deep Learning for Algorithm Portfolios. 1280-1286
• 
  Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin:
  Convolutional Neural Networks over Tree Structures for Programming Language Processing. 1287-1293
• 
  Aniruddh Nath, Pedro M. Domingos:
  Learning Tractable Probabilistic Models for Fault Localization. 1294-1301
• 
  Feiping Nie, Wei Zhu, Xuelong Li:
  Unsupervised Feature Selection with Structured Graph Optimization. 1302-1308
• 
  NhatHai Phan, Yue Wang, Xintao Wu, Dejing Dou:
  Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction. 1309-1316
• 
  Lam Tran, Deguang Kong, Hongxia Jin, Ji Liu:
  Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features. 1317-1323
• 
  Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang:
  Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning. 1324-1330
• 
  Xin Wang, Roger Donaldson, Christopher Nell, Peter Gorniak, Martin Ester, Jiajun Bu:
  Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization. 1331-1337
• 
  Ying Wei, Yin Zhu, Cane Wing-ki Leung, Yangqiu Song, Qiang Yang:
  Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning. 1338-1344
• 
  Jacob Whitehill:
  Exploiting an Oracle That Reports AUC Scores in Machine Learning Contests. 1345-1351
• 
  Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan:
  Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors. 1352-1358
• 
  Chenjun Xiao, Martin Müller:
  Factorization Ranking Model for Move Prediction in the Game of Go. 1359-1365
• 
  Zhe Xue, Guorong Li, Qingming Huang:
  Joint Multi-View Representation Learning and Image Tagging. 1366-1372
• 
  Margot Lisa-Jing Yann, Yichuan Tang:
  Learning Deep Convolutional Neural Networks for X-Ray Protein Crystallization Image Analysis. 1373-1379
• 
  Baosheng Yu, Meng Fang, Dacheng Tao:
  Linear Submodular Bandits with a Knapsack Constraint. 1380-1386
• 
  Baosheng Yu, Meng Fang, Dacheng Tao, Jie Yin:
  Submodular Asymmetric Feature Selection in Cascade Object Detection. 1387-1393
• 
  Shuangfei Zhai, Zhongfei (Mark) Zhang:
  Semisupervised Autoencoder for Sentiment Analysis. 1394-1400
• 
  Man Zhang, Ran He, Dong Cao, Zhenan Sun, Tieniu Tan:
  Simultaneous Feature and Sample Reduction for Image-Set Classification. 1401-1407
• 
  Weinan Zhang, Ulrich Paquet, Katja Hofmann:
  Collective Noise Contrastive Estimation for Policy Transfer Learning. 1408-1414
• 
  Yizhe Zhang, Ricardo Henao, Lawrence Carin, Jianling Zhong, Alexander J. Hartemink:
  Learning a Hybrid Architecture for Sequence Regression and Annotation. 1415-1421
• 
  Handong Zhao, Zhengming Ding, Yun Fu:
  Pose-Dependent Low-Rank Embedding for Head Pose Estimation. 1422-1428
• 
  Vincent W. Zheng, Hong Cao, Shenghua Gao, Aditi Adhikari, Miao Lin, Kevin Chen-Chuan Chang:
  Cold-Start Heterogeneous-Device Wireless Localization. 1429-1435
• 
  Yangxin Zhong, Shixia Liu, Xiting Wang, Jiannan Xiao, Yangqiu Song:
  Tracking Idea Flows between Social Groups. 1436-1443
• 
  Tengfei Zhou, Hui Qian, Zebang Shen, Congfu Xu:
  Fast Hybrid Algorithm for Big Matrix Recovery. 1444-1451

Technical Papers: Machine Learning Methods

• 
  Scott Alfeld, Xiaojin Zhu, Paul Barford:
  Data Poisoning Attacks against Autoregressive Models. 1452-1458
• 
  Olivier Bachem, Mario Lucic, S. Hamed Hassani, Andreas Krause:
  Approximate K-Means++ in Sublinear Time. 1459-1467
• 
  André da Motta Salles Barreto, Rafael L. Beirigo, Joelle Pineau, Doina Precup:
  Incremental Stochastic Factorization for Online Reinforcement Learning. 1468-1475
• 
  Marc G. Bellemare, Georg Ostrovski, Arthur Guez, Philip S. Thomas, Rémi Munos:
  Increasing the Action Gap: New Operators for Reinforcement Learning. 1476-1483
• 
  Massimo Cairo, Gabriele Farina, Romeo Rizzi:
  Decoding Hidden Markov Models Faster Than Viterbi Via Online Matrix-Vector (max, +)-Multiplication. 1484-1490
• 
  Gang Chen, Haiying Zhang, Caiming Xiong:
  Maximum Margin Dirichlet Process Mixtures for Clustering. 1491-1497
• 
  Peixian Chen, Nevin L. Zhang, Leonard K. M. Poon, Zhourong Chen:
  Progressive EM for Latent Tree Models and Hierarchical Topic Detection. 1498-1504
• 
  Jonghyun Choi, Sung Ju Hwang, Leonid Sigal, Larry S. Davis:
  Knowledge Transfer with Interactive Learning of Semantic Relationships. 1505-1511
• 
  Nguyen Viet Cuong, Nan Ye, Wee Sun Lee:
  Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification. 1512-1518
• 
  Christian Daniel, Jonathan Taylor, Sebastian Nowozin:
  Learning Step Size Controllers for Robust Neural Network Training. 1519-1525
• 
  Lorenzo De Stefani, Alessandro Epasto, Eli Upfal, Fabio Vandin:
  Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic. 1526-1532
• 
  Leon Derczynski, Sean Chester:
  Generalised Brown Clustering and Roll-Up Feature Generation. 1533-1539
• 
  Giulia DeSalvo, Mehryar Mohri:
  Random Composite Forests. 1540-1546
• 
  Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen:
  The Ostomachion Process. 1547-1553
• 
  Marco Fraccaro, Ulrich Paquet, Ole Winther:
  Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search. 1554-1560
• 
  Yasuhiro Fujiwara, Yasutoshi Ida, Hiroaki Shiokawa, Sotetsu Iwamura:
  Fast Lasso Algorithm via Selective Coordinate Descent. 1561-1567
• 
  Longwen Gao, Shuigeng Zhou:
  Group and Graph Joint Sparsity for Linked Data Classification. 1568-1574
• 
  Wei Gao, Lu Wang, Yu-Feng Li, Zhi-Hua Zhou:
  Risk Minimization in the Presence of Label Noise. 1575-1581
• 
  Behnam Gholami, Sejong Yoon, Vladimir Pavlovic:
  Decentralized Approximate Bayesian Inference for Distributed Sensor Network. 1582-1588
• 
  Soumya Ghosh, Francesco Maria Delle Fave, Jonathan S. Yedidia:
  Assumed Density Filtering Methods for Learning Bayesian Neural Networks. 1589-1595
• 
  Jesse Glass, Mohamed F. Ghalwash, Milan Vukicevic, Zoran Obradovic:
  Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster. 1596-1602
• 
  Djordje Gligorijevic, Jelena Stojanovic, Zoran Obradovic:
  Uncertainty Propagation in Long-Term Structured Regression on Evolving Networks. 1603-1609
• 
  Chen Gong, Dacheng Tao, Jie Yang, Wei Liu:
  Teaching-to-Learn and Learning-to-Teach for Multi-label Propagation. 1610-1616
• 
  Jun Guo, Yanqing Guo, Xiangwei Kong, Man Zhang, Ran He:
  Discriminative Analysis Dictionary Learning. 1617-1623
• 
  Yuchen Guo, Guiguang Ding, Yuqi Wang, Xiaoming Jin:
  Active Learning with Cross-Class Knowledge Transfer. 1624-1630
• 
  Assaf Hallak, Aviv Tamar, Rémi Munos, Shie Mannor:
  Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis. 1631-1637
• 
  Lei Han, Yu Zhang:
  Multi-Stage Multi-Task Learning with Reduced Rank. 1638-1644
• 
  Lei Han, Yu Zhang:
  Reduction Techniques for Graph-Based Convex Clustering. 1645-1651
• 
  Ahsanul Haque, Latifur Khan, Michael Baron:
  SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream. 1652-1658
• 
  Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic:
  Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness. 1659-1665
• 
  Chenping Hou, Feiping Nie, Dacheng Tao:
  Discriminative Vanishing Component Analysis. 1666-1672
• 
  Ming Hou, Qibin Zhao, Brahim Chaib-draa, Andrzej Cichocki:
  Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression. 1673-1679
• 
  Peng Hou, Xin Geng, Min-Ling Zhang:
  Multi-Label Manifold Learning. 1680-1686
• 
  Zhouyuan Huo, Ji Liu, Heng Huang:
  Optimal Discrete Matrix Completion. 1687-1693
• 
  Daniel Jiwoong Im, Mohamed Ishmael Diwan Belghazi, Roland Memisevic:
  Conservativeness of Untied Auto-Encoders. 1694-1700
• 
  Katsuhiko Ishiguro, Issei Sato, Masahiro Nakano, Akisato Kimura, Naonori Ueda:
  Infinite Plaid Models for Infinite Bi-Clustering. 1701-1708
• 
  Nan Jiang, Alex Kulesza, Satinder P. Singh:
  Improving Predictive State Representations via Gradient Descent. 1709-1715
• 
  Shangpu Jiang, Daniel Lowd, Dejing Dou:
  A Probabilistic Approach to Knowledge Translation. 1716-1722
• 
  Wenhao Jiang, Hongchang Gao, Fu-Lai Chung, Heng Huang:
  The l2, 1-Norm Stacked Robust Autoencoders for Domain Adaptation. 1723-1729
• 
  Wuxuan Jiang, Cong Xie, Zhihua Zhang:
  Wishart Mechanism for Differentially Private Principal Components Analysis. 1730-1736
• 
  Xiaojie Jin, Chunyan Xu, Jiashi Feng, Yunchao Wei, Junjun Xiong, Shuicheng Yan:
  Deep Learning with S-Shaped Rectified Linear Activation Units. 1737-1743
• 
  Pooria Joulani, András György, Csaba Szepesvári:
  Delay-Tolerant Online Convex Optimization: Unified Analysis and Adaptive-Gradient Algorithms. 1744-1750
• 
  Guoliang Kang, Jun Li, Dacheng Tao:
  Shakeout: A New Regularized Deep Neural Network Training Scheme. 1751-1757
• 
  Kenji Kawaguchi:
  Bounded Optimal Exploration in MDP. 1758-1764
• 
  Deguang Kong, Ji Liu, Bo Liu, Xuan Bao:
  Uncorrelated Group LASSO. 1765-1771
• 
  Atsutoshi Kumagai, Tomoharu Iwata:
  Learning Future Classifiers without Additional Data. 1772-1778
• 
  Guy Lever, John Shawe-Taylor, Ronnie Stafford, Csaba Szepesvári:
  Compressed Conditional Mean Embeddings for Model-Based Reinforcement Learning. 1779-1787
• 
  Chunyuan Li, Changyou Chen, David E. Carlson, Lawrence Carin:
  Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks. 1788-1794
• 
  Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin:
  High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models. 1795-1801
• 
  Hao Li, Maoguo Gong, Deyu Meng, Qiguang Miao:
  Multi-Objective Self-Paced Learning. 1802-1808
• 
  Yeqing Li, Junzhou Huang, Wei Liu:
  Scalable Sequential Spectral Clustering. 1809-1815
• 
  Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou:
  Towards Safe Semi-Supervised Learning for Multivariate Performance Measures. 1816-1822
• 
  Yujun Li, Kaichun Mo, Haishan Ye:
  Accelerating Random Kaczmarz Algorithm Based on Clustering Information. 1823-1829
• 
  Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin:
  Fast and Accurate Refined Nyström-Based Kernel SVM. 1830-1836
• 
  Qianli Liao, Joel Z. Leibo, Tomaso A. Poggio:
  How Important Is Weight Symmetry in Backpropagation? 1837-1844
• 
  Christopher H. Lin, Mausam, Daniel S. Weld:
  Re-Active Learning: Active Learning with Relabeling. 1845-1852
• 
  Peng Lin, Bang Zhang, Ting Guo, Yang Wang, Fang Chen:
  Interaction Point Processes via Infinite Branching Model. 1853-1859
• 
  Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet:
  Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. 1860-1866
• 
  Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun:
  Online ARIMA Algorithms for Time Series Prediction. 1867-1873
• 
  Hongfu Liu, Ming Shao, Yun Fu:
  Consensus Guided Unsupervised Feature Selection. 1874-1880
• 
  Weiwei Liu, Ivor W. Tsang:
  Sparse Perceptron Decision Tree for Millions of Dimensions. 1881-1887
• 
  Xinwang Liu, Yong Dou, Jianping Yin, Lei Wang, En Zhu:
  Multiple Kernel k-Means Clustering with Matrix-Induced Regularization. 1888-1894
• 
  Yang Liu, Mingyan Liu:
  Finding One's Best Crowd: Online Learning By Exploiting Source Similarity. 1895-1901
• 
  Yang Lu, Song-Chun Zhu, Ying Nian Wu:
  Learning FRAME Models Using CNN Filters. 1902-1910
• 
  Kevin Sebastian Luck, Joni Pajarinen, Erik Berger, Ville Kyrki, Heni Ben Amor:
  Sparse Latent Space Policy Search. 1911-1918
• 
  Takanori Maehara, Kohei Hayashi, Ken-ichi Kawarabayashi:
  Expected Tensor Decomposition with Stochastic Gradient Descent. 1919-1925
• 
  Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popovic:
  Offline Evaluation of Online Reinforcement Learning Algorithms. 1926-1933
• 
  Warwick Masson, Pravesh Ranchod, George Konidaris:
  Reinforcement Learning with Parameterized Actions. 1934-1940
• 
  Yadong Mu:
  Fixed-Rank Supervised Metric Learning on Riemannian Manifold. 1941-1947
• 
  Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz:
  All-in Text: Learning Document, Label, and Word Representations Jointly. 1948-1954
• 
  Maximilian Nickel, Lorenzo Rosasco, Tomaso A. Poggio:
  Holographic Embeddings of Knowledge Graphs. 1955-1961
• 
  Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang:
  New l1-Norm Relaxations and Optimizations for Graph Clustering. 1962-1968
• 
  Feiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang:
  The Constrained Laplacian Rank Algorithm for Graph-Based Clustering. 1969-1976
• 
  Jason Pazis, Ronald Parr:
  Efficient PAC-Optimal Exploration in Concurrent, Continuous State MDPs with Delayed Updates. 1977-1985
• 
  Vahan Petrosyan, Alexandre Proutière:
  Viral Clustering: A Robust Method to Extract Structures in Heterogeneous Datasets. 1986-1992
• 
  Matteo Pirotta, Marcello Restelli:
  Inverse Reinforcement Learning through Policy Gradient Minimization. 1993-1999
• 
  Hong Qian, Yang Yu:
  Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions. 2000-2006
• 
  Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro:
  Selecting Near-Optimal Learners via Incremental Data Allocation. 2007-2015
• 
  Fanhua Shang, Yuanyuan Liu, James Cheng:
  Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization. 2016-2022
• 
  Ming Shao, Zhengming Ding, Handong Zhao, Yun Fu:
  Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation. 2023-2029
• 
  Yuan Shi, Wenzhe Li, Fei Sha:
  Metric Learning for Ordinal Data. 2030-2036
• 
  Adish Singla, Sebastian Tschiatschek, Andreas Krause:
  Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization. 2037-2043
• 
  Yang Song, Jun Zhu:
  Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization. 2044-2050
• 
  Lukas Studer, Loïc Paulevé, Christoph Zechner, Matthias Reumann, María Rodríguez Martínez, Heinz Koeppl:
  Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations. 2051-2057
• 
  Baochen Sun, Jiashi Feng, Kate Saenko:
  Return of Frustratingly Easy Domain Adaptation. 2058-2065
• 
  Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu:
  On the Depth of Deep Neural Networks: A Theoretical View. 2066-2072
• 
  Dougal J. Sutherland, Junier B. Oliva, Barnabás Póczos, Jeff G. Schneider:
  Linear-Time Learning on Distributions with Approximate Kernel Embeddings. 2073-2079
• 
  Mingkui Tan, Yan Yan, Li Wang, Anton van den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi:
  Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. 2080-2086
• 
  Aristide C. Y. Tossou, Christos Dimitrakakis:
  Algorithms for Differentially Private Multi-Armed Bandits. 2087-2093
• 
  Hado van Hasselt, Arthur Guez, David Silver:
  Deep Reinforcement Learning with Double Q-Learning. 2094-2100
• 
  Arun Venkatraman, Wen Sun, Martial Hebert, J. Andrew Bagnell, Byron Boots:
  Online Instrumental Variable Regression with Applications to Online Linear System Identification. 2101-2107
• 
  James R. Voss, Mikhail Belkin, Luis Rademacher:
  The Hidden Convexity of Spectral Clustering. 2108-2114
• 
  Boyu Wang, Joelle Pineau, Borja Balle:
  Multitask Generalized Eigenvalue Program. 2115-2121
• 
  Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
  Product Grassmann Manifold Representation and Its LRR Models. 2122-2129
• 
  Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han:
  Text Classification with Heterogeneous Information Network Kernels. 2130-2136
• 
  Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye:
  Semi-Supervised Dictionary Learning via Structural Sparse Preserving. 2137-2144
• 
  Donghui Wang, Yanan Li, Yuetan Lin, Yueting Zhuang:
  Relational Knowledge Transfer for Zero-Shot Learning. 2145-2151
• 
  Jim Jing-Yan Wang, Ivor Wai-Hung Tsang, Xin Gao:
  Optimizing Multivariate Performance Measures from Multi-View Data. 2152-2158
• 
  Shouyi Wang, KinMing Kam, Cao Xiao, Stephen R. Bowen, Wanpracha Art Chaovalitwongse:
  An Efficient Time Series Subsequence Pattern Mining and Prediction Framework with an Application to Respiratory Motion Prediction. 2159-2165
• 
  Xin Wang, Ming-Ching Chang, Yiming Ying, Siwei Lyu:
  Co-Regularized PLSA for Multi-Modal Learning. 2166-2172
• 
  Xingfu Wang, Lin Wang, Jing Chen, Litao Wu:
  Toward a Better Understanding of Deep Neural Network Based Acoustic Modelling: An Empirical Investigation. 2173-2179
• 
  Yining Wang, Aarti Singh:
  Noise-Adaptive Margin-Based Active Learning and Lower Bounds under Tsybakov Noise Condition. 2180-2186
• 
  Yu-Xiong Wang, Martial Hebert:
  Learning by Transferring from Unsupervised Universal Sources. 2187-2193
• 
  Zhangyang Wang, Qing Ling, Thomas S. Huang:
  Learning Deep ℓ₀ Encoders. 2194-2200
• 
  Zhiguang Wang, Tim Oates, James Lo:
  Adaptive Normalized Risk-Averting Training for Deep Neural Networks. 2201-2207
• 
  Jianqiao Wangni, Ning Chen:
  Nonlinear Feature Extraction with Max-Margin Data Shifting. 2208-2214
• 
  Xiaokai Wei, Bokai Cao, Philip S. Yu:
  Unsupervised Feature Selection on Networks: A Generative View. 2215-2221
• 
  Christian Wirth, Johannes Fürnkranz, Gerhard Neumann:
  Model-Free Preference-Based Reinforcement Learning. 2222-2228
• 
  Baoyuan Wu, Siwei Lyu, Bernard Ghanem:
  Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning. 2229-2236
• 
  Jianxin Wu, Bin-Bin Gao, Guoqing Liu:
  Representing Sets of Instances for Visual Recognition. 2237-2243
• 
  Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang:
  Robust Semi-Supervised Learning through Label Aggregation. 2244-2250
• 
  Meng Yang, Weiyang Liu, Weixin Luo, Linlin Shen:
  Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification. 2251-2257
• 
  Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen:
  Efficient Average Reward Reinforcement Learning Using Constant Shifting Values. 2258-2264
• 
  Shuo Yang, Tushar Khot, Kristian Kersting, Sriraam Natarajan:
  Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach. 2265-2271
• 
  Han-Jia Ye, De-Chuan Zhan, Yuan Jiang:
  Instance Specific Metric Subspace Learning: A Bayesian Approach. 2272-2278
• 
  Xiyu Yu, Wei Bian, Dacheng Tao:
  Scalable Completion of Nonnegative Matrix with Separable Structure. 2279-2285
• 
  Yang Yu, Hong Qian, Yi-Qi Hu:
  Derivative-Free Optimization via Classification. 2286-2292
• 
  Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar:
  On Order-Constrained Transitive Distance Clustering. 2293-2299
• 
  Ganzhao Yuan, Bernard Ghanem:
  A Proximal Alternating Direction Method for Semi-Definite Rank Minimization. 2300-2308
• 
  De-Chuan Zhan, Peng Hu, Zui Chu, Zhi-Hua Zhou:
  Learning Expected Hitting Time Distance. 2309-2314
• 
  Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou:
  Stochastic Optimization for Kernel PCA. 2315-2322
• 
  Ruiliang Zhang, Shuai Zheng, James T. Kwok:
  Asynchronous Distributed Semi-Stochastic Gradient Optimization. 2323-2329
• 
  Shubao Zhang, Hui Qian, Xiaojin Gong:
  An Alternating Proximal Splitting Method with Global Convergence for Nonconvex Structured Sparsity Optimization. 2330-2336
• 
  Weizhong Zhang, Lijun Zhang, Rong Jin, Deng Cai, Xiaofei He:
  Accelerated Sparse Linear Regression via Random Projection. 2337-2343
• 
  Yan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, Cheng-Lin Liu:
  Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver. 2344-2350
• 
  Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low, Mohan S. Kankanhalli:
  Near-Optimal Active Learning of Multi-Output Gaussian Processes. 2351-2357
• 
  Zihan Zhang, Xiaoming Jin, Lianghao Li, Guiguang Ding, Qiang Yang:
  Multi-Domain Active Learning for Recommendation. 2358-2364
• 
  Zuhe Zhang, Benjamin I. P. Rubinstein, Christos Dimitrakakis:
  On the Differential Privacy of Bayesian Inference. 2365-2371
• 
  Shenjian Zhao, Cong Xie, Zhihua Zhang:
  A Scalable and Extensible Framework for Superposition-Structured Models. 2372-2378
• 
  Shen-Yi Zhao, Wu-Jun Li:
  Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee. 2379-2385
• 
  Shandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian Molloy, Suresh Chari:
  DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays. 2386-2392
• 
  Shuai Zheng, Ruiliang Zhang, James T. Kwok:
  Fast Nonsmooth Regularized Risk Minimization with Continuation. 2393-2399
• 
  Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Shen-Shyang Ho:
  Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction. 2400-2406
• 
  Yuxun Zhou, Ninghang Hu, Costas J. Spanos:
  Veto-Consensus Multiple Kernel Learning. 2407-2414
• 
  Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao:
  Deep Hashing Network for Efficient Similarity Retrieval. 2415-2421
• 
  Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo:
  Coupled Dictionary Learning for Unsupervised Feature Selection. 2422-2428
• 
  Zhanxing Zhu, Amos J. Storkey:
  Stochastic Parallel Block Coordinate Descent for Large-Scale Saddle Point Problems. 2429-2437

Technical Papers: Multiagent Systems

• 
  Abhijin Adiga, Anil Vullikanti:
  Temporal Vaccination Games under Resource Constraints. 2438-2444
• 
  Bikramjit Banerjee, Steven Loscalzo, Daniel Lucas Thompson:
  Detection of Plan Deviation in Multi-Agent Systems. 2445-2451
• 
  Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Nimrod Talmon:
  Complexity of Shift Bribery in Committee Elections. 2452-2458
• 
  Taolue Chen, Fu Song, Zhilin Wu:
  Global Model Checking on Pushdown Multi-Agent Systems. 2459-2465
• 
  Palash Dey, Neeldhara Misra, Y. Narahari:
  Frugal Bribery in Voting. 2466-2472
• 
  Maxim Egorov, Mykel J. Kochenderfer, Jaak J. Uudmae:
  Target Surveillance in Adversarial Environments Using POMDPs. 2473-2479
• 
  Ferdinando Fioretto, William Yeoh, Enrico Pontelli:
  Multi-Variable Agents Decomposition for DCOPs. 2480-2486
• 
  Julio Erasmo Godoy, Ioannis Karamouzas, Stephen J. Guy, Maria L. Gini:
  Implicit Coordination in Crowded Multi-Agent Navigation. 2487-2493
• 
  The Anh Han:
  Emergence of Social Punishment and Cooperation through Prior Commitments. 2494-2500
• 
  Zehong Hu, Meng Sha, Moath Jarrah, Jie Zhang, Hui Xi:
  Efficient Computation of Emergent Equilibrium in Agent-Based Simulation. 2501-2508
• 
  Xiaowei Huang, Qingliang Chen, Kaile Su:
  Strengthening Agents Strategic Ability with Communication. 2509-2515
• 
  Xiaowei Huang, Marta Kwiatkowska:
  Model Checking Probabilistic Knowledge: A PSPACE Case. 2516-2522
• 
  Miao Liu, Christopher Amato, Emily P. Anesta, John Daniel Griffith, Jonathan P. How:
  Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments. 2523-2529
• 
  Alessandro Panella, Piotr J. Gmytrasiewicz:
  Bayesian Learning of Other Agents' Finite Controllers for Interactive POMDPs. 2530-2536
• 
  Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer:
  Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs. 2537-2543
• 
  Vaibhav V. Unhelkar, Julie A. Shah:
  ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains. 2544-2550
• 
  Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu:
  Is It Harmful When Advisors Only Pretend to Be Honest? 2551-2557
• 
  Yuan Yao, Brian Logan, John Thangarajah:
  Robust Execution of BDI Agent Programs by Exploiting Synergies Between Intentions. 2558-2565

Technical Papers: NLP and Knowledge Representation

• 
  Hadi Amiri, Hal Daumé III:
  Short Text Representation for Detecting Churn in Microblogs. 2566-2572
• 
  Tal Baumel, Raphael Cohen, Michael Elhadad:
  Topic Concentration in Query Focused Summarization Datasets. 2573-2579
• 
  Peter Clark, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter D. Turney, Daniel Khashabi:
  Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions. 2580-2586
• 
  Wanyun Cui, Xiyou Zhou, Hangyu Lin, Yanghua Xiao, Haixun Wang, Seung-won Hwang, Wei Wang:
  Verb Pattern: A Probabilistic Semantic Representation on Verbs. 2587-2593
• 
  Luis Espinosa Anke, Horacio Saggion, Francesco Ronzano, Roberto Navigli:
  ExTaSem! Extending, Taxonomizing and Semantifying Domain Terminologies. 2594-2600
• 
  Francis Ferraro, Benjamin Van Durme:
  A Unified Bayesian Model of Scripts, Frames and Language. 2601-2607
• 
  Josu Goikoetxea, Eneko Agirre, Aitor Soroa:
  Single or Multiple? Combining Word Representations Independently Learned from Text and WordNet. 2608-2614
• 
  Yu Gong, Kaiqi Zhao, Kenny Qili Zhu:
  Representing Verbs as Argument Concepts. 2615-2621
• 
  Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Rätsch:
  A Generative Model of Words and Relationships from Multiple Sources. 2622-2629
• 
  Lemao Liu, Andrew M. Finch, Masao Utiyama, Eiichiro Sumita:
  Agreement on Target-Bidirectional LSTMs for Sequence-to-Sequence Learning. 2630-2637
• 
  Jin-Woo Park, Seung-won Hwang, Haixun Wang:
  Fine-Grained Semantic Conceptualization of FrameNet. 2638-2644
• 
  Likun Qiu, Yue Zhang, Meishan Zhang:
  Dependency Tree Representations of Predicate-Argument Structures. 2645-2651
• 
  Alakananda Vempala, Eduardo Blanco:
  Complementing Semantic Roles with Temporally Anchored Spatial Knowledge: Crowdsourced Annotations and Experiments. 2652-2658
• 
  Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun:
  Representation Learning of Knowledge Graphs with Entity Descriptions. 2659-2665
• 
  Chen Xing, Yuan Wang, Jie Liu, Yalou Huang, Wei-Ying Ma:
  Hashtag-Based Sub-Event Discovery Using Mutually Generative LDA in Twitter. 2666-2672
• 
  Qian Yang, Rebecca J. Passonneau, Gerard de Melo:
  PEAK: Pyramid Evaluation via Automated Knowledge Extraction. 2673-2680

Technical Papers: NLP and Machine Learning

• 
  Amos Azaria, Jayant Krishnamurthy, Tom M. Mitchell:
  Instructable Intelligent Personal Agent. 2681-2689
• 
  Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi:
  Joint Word Representation Learning Using a Corpus and a Semantic Lexicon. 2690-2696
• 
  Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III:
  Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text. 2697-2703
• 
  Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer:
  Modeling Evolving Relationships Between Characters in Literary Novels. 2704-2710
• 
  Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang:
  Jointly Modeling Topics and Intents with Global Order Structure. 2711-2717
• 
  Sahil Garg, Aram Galstyan, Ulf Hermjakob, Daniel Marcu:
  Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text. 2718-2726
• 
  Mark Granroth-Wilding, Stephen Clark:
  What Happens Next? Event Prediction Using a Compositional Neural Network Model. 2727-2733
• 
  Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu:
  A Representation Learning Framework for Multi-Source Transfer Parsing. 2734-2740
• 
  Yoon Kim, Yacine Jernite, David Sontag, Alexander M. Rush:
  Character-Aware Neural Language Models. 2741-2749
• 
  Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui:
  Implicit Discourse Relation Classification via Multi-Task Neural Networks. 2750-2756
• 
  Michal Lukasik, Trevor Cohn:
  Convolution Kernels for Discriminative Learning from Streaming Text. 2757-2763
• 
  Aman Madaan, Ashish Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi:
  Numerical Relation Extraction with Minimal Supervision. 2764-2771
• 
  Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
  Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. 2772-2778
• 
  Arindam Mitra, Chitta Baral:
  Addressing a Question Answering Challenge by Combining Statistical Methods with Inductive Rule Learning and Reasoning. 2779-2785
• 
  Jonas Mueller, Aditya Thyagarajan:
  Siamese Recurrent Architectures for Learning Sentence Similarity. 2786-2792
• 
  Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng:
  Text Matching as Image Recognition. 2793-2799
• 
  Karl Pichotta, Raymond J. Mooney:
  Learning Statistical Scripts with LSTM Recurrent Neural Networks. 2800-2806
• 
  Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell:
  Inferring Interpersonal Relations in Narrative Summaries. 2807-2813
• 
  Svetlana Stoyanchev, Amanda Stent, Srinivas Bangalore:
  Evaluation of Semantic Dependency Labeling Across Domains. 2814-2820
• 
  Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
  Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations. 2821-2827
• 
  Masashi Tsubaki, Kevin Duh, Masashi Shimbo, Yuji Matsumoto:
  Non-Linear Similarity Learning for Compositionality. 2828-2834
• 
  Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng:
  A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. 2835-2841
• 
  Linlin Wang, Zhu Cao, Yu Xia, Gerard de Melo:
  Morphological Segmentation with Window LSTM Neural Networks. 2842-2848
• 
  Michael Wick, Pallika Kanani, Adam Craig Pocock:
  Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching. 2849-2855
• 
  Tong Xiao, Jingbo Zhu, Chunliang Zhang, Tongran Liu:
  Syntactic Skeleton-Based Translation. 2856-2862
• 
  Eray Yildiz, Caglar Tirkaz, H. Bahadir Sahin, Mustafa Tolga Eren, Omer Ozan Sonmez:
  A Morphology-Aware Network for Morphological Disambiguation. 2863-2869
• 
  Meng Zhang, Yang Liu, Huan-Bo Luan, Maosong Sun, Tatsuya Izuha, Jie Hao:
  Building Earth Mover's Distance on Bilingual Word Embeddings for Machine Translation. 2870-2876
• 
  Li Zhao, Minlie Huang, Ziyu Yao, Rongwei Su, Yingying Jiang, Xiaoyan Zhu:
  Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint. 2877-2884

Technical Papers: NLP and Text Mining

• 
  Naveen Arivazhagan, Christos Christodoulopoulos, Dan Roth:
  Labeling the Semantic Roles of Commas. 2885-2891
• 
  Adrian Benton, Michael J. Paul, Braden Hancock, Mark Dredze:
  Collective Supervision of Topic Models for Predicting Surveys with Social Media. 2892-2898
• 
  Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen:
  Distant IE by Bootstrapping Using Lists and Document Structure. 2899-2905
• 
  Ziqiang Cao, Chengyao Chen, Wenjie Li, Sujian Li, Furu Wei, Ming Zhou:
  TGSum: Build Tweet Guided Multi-Document Summarization Dataset. 2906-2912
• 
  Chen Chen, Vincent Ng:
  Joint Inference over a Lightly Supervised Information Extraction Pipeline: Towards Event Coreference Resolution for Resource-Scarce Languages. 2913-2920
• 
  Jifan Chen, Qi Zhang, Pengfei Liu, Xuanjing Huang:
  Discourse Relations Detection via a Mixed Generative-Discriminative Framework. 2921-2927
• 
  Mihai Dascalu, Danielle S. McNamara, Scott A. Crossley, Stefan Trausan-Matu:
  Age of Exposure: A Model of Word Learning. 2928-2934
• 
  Haibo Ding, Ellen Riloff:
  Acquiring Knowledge of Affective Events from Blogs Using Label Propagation. 2935-2942
• 
  Christian Hadiwinoto, Yang Liu, Hwee Tou Ng:
  To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation. 2943-2949
• 
  Xianpei Han, Le Sun:
  Global Distant Supervision for Relation Extraction. 2950-2956
• 
  Yulan He:
  Extracting Topical Phrases from Clinical Documents. 2957-2963
• 
  Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
  Topical Analysis of Interactions Between News and Social Media. 2964-2971
• 
  Zhiwei Jin, Juan Cao, Yongdong Zhang, Jiebo Luo:
  News Verification by Exploiting Conflicting Social Viewpoints in Microblogs. 2972-2978
• 
  Marco Lippi, Paolo Torroni:
  Argument Mining from Speech: Detecting Claims in Political Debates. 2979-2985
• 
  Qian Liu, Bing Liu, Yuanlin Zhang, Doo Soon Kim, Zhiqiang Gao:
  Improving Opinion Aspect Extraction Using Semantic Similarity and Aspect Associations. 2986-2992
• 
  Shulin Liu, Kang Liu, Shizhu He, Jun Zhao:
  A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification. 2993-2999
• 
  Guangyi Lv, Tong Xu, Enhong Chen, Qi Liu, Yi Zheng:
  Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding. 3000-3006
• 
  Chen Lyu, Yue Zhang, Donghong Ji:
  Joint Word Segmentation, POS-Tagging and Syntactic Chunking. 3007-3014
• 
  Rebecca Mason, Benjamin Gaska, Benjamin Van Durme, Pallavi Choudhury, Ted Hart, Bill Dolan, Kristina Toutanova, Margaret Mitchell:
  Microsummarization of Online Reviews: An Experimental Study. 3015-3021
• 
  Jong-Hoon Oh, Kentaro Torisawa, Chikara Hashimoto, Ryu Iida, Masahiro Tanaka, Julien Kloetzer:
  A Semi-Supervised Learning Approach to Why-Question Answering. 3022-3029
• 
  Daniel Preotiuc-Pietro, Wei Xu, Lyle H. Ungar:
  Discovering User Attribute Stylistic Differences via Paraphrasing. 3030-3037
• 
  Yafeng Ren, Yue Zhang, Meishan Zhang, Donghong Ji:
  Improving Twitter Sentiment Classification Using Topic-Enriched Multi-Prototype Word Embeddings. 3038-3044
• 
  Baiyang Wang, Diego Klabjan:
  Temporal Topic Analysis with Endogenous and Exogenous Processes. 3045-3051
• 
  Shuai Wang, Zhiyuan Chen, Bing Liu, Sherry Emery:
  Identifying Search Keywords for Finding Relevant Social Media Posts. 3052-3058
• 
  Fangzhao Wu, Yongfeng Huang:
  Personalized Microblog Sentiment Classification via Multi-Task Learning. 3059-3065
• 
  Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
  Improving Recommendation of Tail Tags for Questions in Community Question Answering. 3066-3072
• 
  Zhaohui Wu, Yang Song, C. Lee Giles:
  Exploring Multiple Feature Spaces for Novel Entity Discovery. 3073-3079
• 
  Jin-ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Y. Chang, Jianguo Xiao:
  Tweet Timeline Generation with Determinantal Point Processes. 3080-3086
• 
  Meishan Zhang, Yue Zhang, Duy-Tin Vo:
  Gated Neural Networks for Targeted Sentiment Analysis. 3087-3093
• 
  Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao:
  A Joint Model for Question Answering over Multiple Knowledge Bases. 3094-3100
• 
  Zhenzhong Zhang, Le Sun, Xianpei Han:
  A Joint Model for Entity Set Expansion and Attribute Extraction from Web Search Queries. 3101-3107
• 
  Hao Zheng, Zhoujun Li, Senzhang Wang, Zhao Yan, Jianshe Zhou:
  Aggregating Inter-Sentence Information to Enhance Relation Extraction. 3108-3115

Technical Papers: Planning and Scheduling

• 
  Alessandro Cimatti, Andrea Micheli, Marco Roveri:
  Dynamic Controllability of Disjunctive Temporal Networks: Validation and Synthesis of Executable Strategies. 3116-3122
• 
  Amir-massoud Farahmand, Daniel Nikolaev Nikovski, Yuji Igarashi, Hiroki Konaka:
  Truncated Approximate Dynamic Programming with Task-Dependent Terminal Value. 3123-3129
• 
  Eric A. Hansen, Ibrahim Abdoulahi:
  General Error Bounds in Heuristic Search Algorithms for Stochastic Shortest Path Problems. 3130-3137
• 
  Ping Hou, William Yeoh, Pradeep Varakantham:
  Solving Risk-Sensitive POMDPs With and Without Cost Observations. 3138-3144
• 
  Shivaram Kalyanakrishnan, Neeldhara Misra, Aditya Gopalan:
  Randomised Procedures for Initialising and Switching Actions in Policy Iteration. 3145-3151
• 
  Sarah Keren, Avigdor Gal, Erez Karpas:
  Goal Recognition Design with Non-Observable Actions. 3152-3158
• 
  Radimir Komarnitsky, Guy Shani:
  Computing Contingent Plans Using Online Replanning. 3159-3165
• 
  Hang Ma, Craig A. Tovey, Guni Sharon, T. K. Satish Kumar, Sven Koenig:
  Multi-Agent Path Finding with Payload Transfers and the Package-Exchange Robot-Routing Problem. 3166-3173
• 
  Joris Scharpff, Diederik M. Roijers, Frans A. Oliehoek, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt:
  Solving Transition-Independent Multi-Agent MDPs with Sparse Interactions. 3174-3180
• 
  Tran Cao Son, Orkunt Sabuncu, Christian Schulz-Hanke, Torsten Schaub, William Yeoh:
  Solving Goal Recognition Design Using ASP. 3181-3187
• 
  Mauro Vallati, Daniele Magazzeni, Bart De Schutter, Lukás Chrpa, Thomas Leo McCluskey:
  Efficient Macroscopic Urban Traffic Models for Reducing Congestion: A PDDL+ Planning Approach. 3188-3194
• 
  Pradeep Varakantham, Na Fu, Hoong Chuin Lau:
  A Proactive Sampling Approach to Project Scheduling under Uncertainty. 3195-3201
• 
  Kyle Hollins Wray, Shlomo Zilberstein:
  A POMDP Formulation of Proactive Learning. 3202-3208
• 
  Ger Yang, Evdokia Nikolova:
  Approximation Algorithms for Route Planning with Nonlinear Objectives. 3209-3217

Technical Papers: Reasoning under Uncertainty

• 
  Supratik Chakraborty, Kuldeep S. Meel, Rakesh Mistry, Moshe Y. Vardi:
  Approximate Probabilistic Inference via Word-Level Counting. 3218-3224
• 
  Krishnendu Chatterjee, Martin Chmelik, Jessica Davies:
  A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with Small Strategies in POMDPs. 3225-3232
• 
  Arthur Choi, Nazgol Tavabi, Adnan Darwiche:
  Structured Features in Naive Bayes Classification. 3233-3240
• 
  Li Chou, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate:
  On Parameter Tying by Quantization. 3241-3247
• 
  Carolyn Kim, Ashish Sabharwal, Stefano Ermon:
  Exact Sampling with Integer Linear Programs and Random Perturbations. 3248-3254
• 
  Junkyu Lee, Radu Marinescu, Rina Dechter, Alexander T. Ihler:
  From Exact to Anytime Solutions for Marginal MAP. 3255-3262
• 
  Sanghack Lee, Vasant G. Honavar:
  On Learning Causal Models from Relational Data. 3263-3270
• 
  Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet:
  Online Spatio-Temporal Matching in Stochastic and Dynamic Domains. 3271-3277
• 
  Ravi Mangal, Xin Zhang, Aditya Kamath, Aditya V. Nori, Mayur Naik:
  Scaling Relational Inference Using Proofs and Refutations. 3278-3286
• 
  Hadi Mohasel Afshar, Scott Sanner, Christfried Webers:
  Closed-Form Gibbs Sampling for Graphical Models with Algebraic Constraints. 3287-3293
• 
  Siqi Nie, Cassio Polpo de Campos, Qiang Ji:
  Learning Bayesian Networks with Bounded Tree-width via Guided Search. 3294-3300
• 
  Tahrima Rahman, Vibhav Gogate:
  Learning Ensembles of Cutset Networks. 3301-3307
• 
  Pedro Henrique de Rodrigues Quemel e Assis Santana, Sylvie Thiébaux, Brian Charles Williams:
  RAO*: An Algorithm for Chance-Constrained POMDP's. 3308-3314
• 
  Benito van der Zander, Maciej Liskiewicz:
  Separators and Adjustment Sets in Markov Equivalent DAGs. 3315-3321
• 
  Shengjia Zhao, Sorathan Chaturapruek, Ashish Sabharwal, Stefano Ermon:
  Closing the Gap Between Short and Long XORs for Model Counting. 3322-3329

Technical Papers: Robotics

• 
  Benjamin Burchfiel, Carlo Tomasi, Ronald Parr:
  Distance Minimization for Reward Learning from Scored Trajectories. 3330-3336
• 
  Le-le Cao, Kotagiri Ramamohanarao, Fuchun Sun, Hongbo Li, Wen-bing Huang, Zay Maung Maung Aye:
  Efficient Spatio-Temporal Tactile Object Recognition with Randomized Tiling Convolutional Networks in a Hierarchical Fusion Strategy. 3337-3345
• 
  Till Hofmann, Tim Niemueller, Jens Claßen, Gerhard Lakemeyer:
  Continual Planning in Golog. 3346-3353
• 
  Juan Pablo Mendoza, Joydeep Biswas, Philip Cooksey, Richard Wang, Steven D. Klee, Danny Zhu, Manuela M. Veloso:
  Selectively Reactive Coordination for a Team of Robot Soccer Champions. 3354-3360
• 
  Peter Ondruska, Ingmar Posner:
  Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks. 3361-3368

Technical Papers: Search and Constraint Satisfaction

• 
  Vaishak Belle, Guy Van den Broeck, Andrea Passerini:
  Component Caching in Hybrid Domains with Piecewise Polynomial Densities. 3369-3375
• 
  Clément Carbonnel:
  The Meta-Problem for Conservative Mal'tsev Constraints. 3376-3382
• 
  Diego de Uña, Graeme Gange, Peter Schachte, Peter J. Stuckey:
  Steiner Tree Problems with Side Constraints Using Constraint Programming. 3383-3389
• 
  Sylvain Ducomman, Hadrien Cambazard, Bernard Penz:
  Alternative Filtering for the Weighted Circuit Constraint: Comparing Lower Bounds for the TSP and Solving TSPTW. 3390-3396
• 
  Alexandre Fréchette, Lars Kotthoff, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown:
  Using the Shapley Value to Analyze Algorithm Portfolios. 3397-3403
• 
  Éric Grégoire, Yacine Izza, Jean-Marie Lagniez:
  On the Extraction of One Maximal Information Subset That Does Not Conflict with Multiple Contexts. 3404-3410
• 
  Robert C. Holte, Ariel Felner, Guni Sharon, Nathan R. Sturtevant:
  Bidirectional Search That Is Guaranteed to Meet in the Middle. 3411-3417
• 
  Jimmy H. M. Lee, Zichen Zhu:
  Breaking More Composition Symmetries Using Search Heuristics. 3418-3425
• 
  Jimmy H. M. Lee, Christian Schulte, Zichen Zhu:
  Increasing Nogoods in Restart-Based Search. 3426-3433
• 
  Jia Hui Liang, Vijay Ganesh, Pascal Poupart, Krzysztof Czarnecki:
  Exponential Recency Weighted Average Branching Heuristic for SAT Solvers. 3434-3440
• 
  Gilles Pesant:
  Counting-Based Search for Constraint Optimization Problems. 3441-3448

Technical Papers: Vision

• 
  Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi:
  Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects. 3449-3456
• 
  Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen:
  Deep Quantization Network for Efficient Image Retrieval. 3457-3463
• 
  Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander G. Hauptmann:
  Dynamic Concept Composition for Zero-Example Event Detection. 3464-3470
• 
  Zhen Dong, Su Jia, Tianfu Wu, Mingtao Pei:
  Face Video Retrieval via Deep Learning of Binary Hash Representations. 3471-3477
• 
  Mohamed Elhoseiny, Jingen Liu, Hui Cheng, Harpreet S. Sawhney, Ahmed M. Elgammal:
  Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos. 3478-3486
• 
  Chuang Gan, Ming Lin, Yi Yang, Gerard de Melo, Alexander G. Hauptmann:
  Concepts Not Alone: Exploring Pairwise Relationships for Zero-Shot Video Activity Recognition. 3487-
• 
  Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang:
  Transductive Zero-Shot Recognition via Shared Model Space Learning. 3434-3500
• 
  Pan He, Weilin Huang, Yu Qiao, Chen Change Loy, Xiaoou Tang:
  Reading Scene Text in Deep Convolutional Sequences. 3501-3508
• 
  Rein Houthooft, Cedric De Boom, Stijn Verstichel, Femke Ongenae, Filip De Turck:
  Structured Output Prediction for Semantic Perception in Autonomous Vehicles. 3509-3515
• 
  Xiangyu Kong, Yizhou Wang, Tao Xiang:
  Robust Complex Behaviour Modeling at 90Hz. 3516-3522
• 
  Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal:
  Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach. 3523-3529
• 
  Marius Leordeanu, Alexandra Radu, Shumeet Baluja, Rahul Sukthankar:
  Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision. 3530-3538
• 
  Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas:
  Decentralized Robust Subspace Clustering. 3539-3545
• 
  Jiongxin Liu, Yinxiao Li, Peter K. Allen, Peter N. Belhumeur:
  Articulated Pose Estimation Using Hierarchical Exemplar-Based Models. 3546-3552
• 
  Xiaobai Liu:
  Multi-View 3D Human Tracking in Crowded Scenes. 3553-3559
• 
  Ping Luo, Zhenyao Zhu, Ziwei Liu, Xiaogang Wang, Xiaoou Tang:
  Face Model Compression by Distilling Knowledge from Neurons. 3560-3566
• 
  Lin Ma, Zhengdong Lu, Hang Li:
  Learning to Answer Questions from Image Using Convolutional Neural Network. 3567-3573
• 
  Alexander Patrick Mathews, Lexing Xie, Xuming He:
  SentiCap: Generating Image Descriptions with Sentiments. 3574-3580
• 
  Jimmy S. J. Ren, Yongtao Hu, Yu-Wing Tai, Chuan Wang, Li Xu, Wenxiu Sun, Qiong Yan:
  Look, Listen and Learn - A Multimodal LSTM for Speaker Identification. 3581-3587
• 
  Babak Saleh, Ahmed M. Elgammal, Jacob Feldman, Ali Farhadi:
  Toward a Taxonomy and Computational Models of Abnormalities in Images. 3588-3596
• 
  Yao-Hung Hubert Tsai, Cheng-An Hou, Wei-Yu Chen, Yi-Ren Yeh, Yu-Chiang Frank Wang:
  Domain-Constraint Transfer Coding for Imbalanced Unsupervised Domain Adaptation. 3597-3603
• 
  Chunyu Wang, John Flynn, Yizhou Wang, Alan L. Yuille:
  Recognizing Actions in 3D Using Action-Snippets and Activated Simplices. 3604-3610
• 
  Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang:
  DARI: Distance Metric and Representation Integration for Person Verification. 3611-3617
• 
  Jingya Wang, Xiatian Zhu, Shaogang Gong:
  Video Semantic Clustering with Sparse and Incomplete Tags. 3618-3624
• 
  Tao Wang, Haibin Ling:
  Path Following with Adaptive Path Estimation for Graph Matching. 3625-3631
• 
  Fangting Xia, Jun Zhu, Peng Wang, Alan L. Yuille:
  Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features. 3632-3640
• 
  Hao Xiong, Tongliang Liu, Dacheng Tao:
  Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair. 3641-3647
• 
  Yang Yang, Zhen Lei, Shifeng Zhang, Hailin Shi, Stan Z. Li:
  Metric Embedded Discriminative Vocabulary Learning for High-Level Person Representation. 3648-3654
• 
  Yang Yang, Shengcai Liao, Zhen Lei, Stan Z. Li:
  Large Scale Similarity Learning Using Similar Pairs for Person Verification. 3655-3661
• 
  Donghun Yeo, Bohyung Han, Joon Hee Han:
  Unsupervised Co-Activity Detection from Multiple Videos Using Absorbing Markov Chain. 3662-3668
• 
  Hanwang Zhang, Na Zhao, Xindi Shang, Huan-Bo Luan, Tat-Seng Chua:
  Discrete Image Hashing Using Large Weakly Annotated Photo Collections. 3669-3675
• 
  Chao Zhu, Yuxin Peng:
  Group Cost-Sensitive Boosting for Multi-Resolution Pedestrian Detection. 3676-3682
• 
  Fan Zhu, Jin Xie, Yi Fang:
  Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval. 3683-3689
• 
  Guibo Zhu, Jinqiao Wang, Yi Wu, Xiaoyu Zhang, Hanqing Lu:
  MC-HOG Correlation Tracking with Saliency Proposal. 3690-3696
• 
  Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie:
  Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks. 3697-3704

Special Track on Cognitive Systems

• 
  Satabdi Basu, Gautam Biswas, John S. Kinnebrew:
  Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School Science. 3705-3711
• 
  Michael T. Cox, Zohreh Alavi, Dustin Dannenhauer, Vahid Eyorokon, Hector Muñoz-Avila, Don Perlis:
  MIDCA: A Metacognitive, Integrated Dual-Cycle Architecture for Self-Regulated Autonomy. 3712-3718
• 
  Andrew S. Gordon:
  Commonsense Interpretation of Triangle Behavior. 3719-3725
• 
  Kazjon Grace, Mary Lou Maher:
  Surprise-Triggered Reformulation of Design Goals. 3726-3732
• 
  Yedid Hoshen, Shmuel Peleg:
  Visual Learning of Arithmetic Operation. 3733-3739
• 
  Peter M. Krafft, Chris L. Baker, Alex Pentland, Joshua B. Tenenbaum:
  Modeling Human Ad Hoc Coordination. 3740-3746
• 
  Abhijit Mishra, Diptesh Kanojia, Pushpak Bhattacharyya:
  Predicting Readers' Sarcasm Understandability by Modeling Gaze Behavior. 3747-3753
• 
  Ryo Nakahashi, Chris L. Baker, Joshua B. Tenenbaum:
  Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model. 3754-3760
• 
  Gustavo H. Paetzold, Lucia Specia:
  Unsupervised Lexical Simplification for Non-Native Speakers. 3761-3767
• 
  Shourya Roy, Ragunathan Mariappan, Sandipan Dandapat, Saurabh Srivastava, Sainyam Galhotra, Balaji Peddamuthu:
  QA^RT: A System for Real-Time Holistic Quality Assurance for Contact Center Dialogues. 3768-3775
• 
  Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, Joelle Pineau:
  Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models. 3776-3784

Special Track on Computational Sustainability

• 
  Lucas Agussurja, Hoong Chuin Lau, Shih-Fen Cheng:
  Achieving Stable and Fair Profit Allocation with Minimum Subsidy in Collaborative Logistics. 3785-3792
• 
  Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit P. Sheth, Tanvi Banerjee:
  Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. 3793-3799
• 
  Sambaran Bandyopadhyay, Ramasuri Narayanam, Pratyush Kumar, Sarvapali D. Ramchurn, Vijay Arya, Iskandarbin Petra:
  An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid. 3800-3806
• 
  Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Matthew Betts:
  Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity. 3807-3813
• 
  Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath:
  Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time. 3814-3820
• 
  Soumyadeep Chatterjee, Stefan Liess, Arindam Banerjee, Vipin Kumar:
  Understanding Dominant Factors for Precipitation over the Great Lakes Region. 3821-3827
• 
  Kai Fan, Chunyuan Li, Katherine A. Heller:
  A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection. 3828-3834
• 
  Lingzi Hong, Enrique Frías-Martínez, Vanessa Frías-Martínez:
  Topic Models to Infer Socio-Economic Maps. 3835-3841
• 
  Timon V. Kanters, Frans A. Oliehoek, Michael Kaisers, Stan R. van den Bosch, Joep Grispen, Jeroen Hermans:
  Energy- and Cost-Efficient Pumping Station Control. 3842-3848
• 
  Akshat Kumar:
  Shortest Path Based Decision Making Using Probabilistic Inference. 3849-3856
• 
  Akshat Kumar, Arambam James Singh, Pradeep Varakantham, Daniel Sheldon:
  Robust Decision Making for Stochastic Network Design. 3857-3863
• 
  Kanal Kumar, Julia Romanski, Pascal Van Hentenryck:
  Optimizing Infrastructure Enhancements for Evacuation Planning. 3864-3870
• 
  Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang:
  Spatially Regularized Streaming Sensor Selection. 3871-3879
• 
  Sara Marie McCarthy, Milind Tambe, Christopher Kiekintveld, Meredith L. Gore, Alex Killion:
  Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security. 3880-3886
• 
  Ankit Pat, Kate Larson, Srinivasen Keshav:
  Big-Data Mechanisms and Energy-Policy Design. 3887-3893
• 
  Julia Romanski, Pascal Van Hentenryck:
  Benders Decomposition for Large-Scale Prescriptive Evacuations. 3894-3900
• 
  Ransalu Senanayake, Simon Timothy O'Callaghan, Fabio Ramos:
  Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression. 3901-3907
• 
  Tommaso Urli, Jana Brotánková, Philip Kilby, Pascal Van Hentenryck:
  Intelligent Habitat Restoration Under Uncertainty. 3908-3914
• 
  John K. Williams, Peter P. Neilley, Joseph P. Koval, Jeff McDonald:
  Adaptable Regression Method for Ensemble Consensus Forecasting. 3915-3921
• 
  XiaoJian Wu, Daniel Sheldon, Shlomo Zilberstein:
  Optimizing Resilience in Large Scale Networks. 3922-3928
• 
  Michael Xie, Neal Jean, Marshall Burke, David B. Lobell, Stefano Ermon:
  Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping. 3929-3935
• 
  Alexandros Zenonos, Sebastian Stein, Nicholas R. Jennings:
  An Algorithm to Coordinate Measurements Using Stochastic Human Mobility Patterns in Large-Scale Participatory Sensing Settings. 3936-3943

Special Track on Integrated AI Capabilities

• 
  Peng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie:
  Bagging Ensembles for the Diagnosis and Prognostication of Alzheimer's Disease. 3944-3950
• 
  Goren Gordon, Samuel Spaulding, Jacqueline Kory Westlund, Jin Joo Lee, Luke Plummer, Marayna Martinez, Madhurima Das, Cynthia Breazeal:
  Affective Personalization of a Social Robot Tutor for Children's Second Language Skills. 3951-3957
• 
  Tom Williams, Matthias Scheutz:
  A Framework for Resolving Open-World Referential Expressions in Distributed Heterogeneous Knowledge Bases. 3958-3965

Innovative Applications Deployed Papers

• 
  Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux:
  Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security. 3966-3973
• 
  Nestor Rychtyckyj, Venkatesh Raman, Baskaran Sankaranarayanan, P. Sreenivasa Kumar, Deepak Khemani:
  Ontology Re-Engineering: A Case Study from the Automotive Industry. 3974-3981
• 
  Adam Sadilek, Henry A. Kautz, Lauren DiPrete, Brian Labus, Eric Portman, Jack Teitel, Vincent Silenzio:
  Deploying nEmesis: Preventing Foodborne Illness by Data Mining Social Media. 3982-3990

Innovative Applications Emerging Application Papers

• 
  Sweewarman Balachandran, Ella M. Atkins:
  An Autonomous Override System to Prevent Airborne Loss of Control. 3991-3996
• 
  Cornelia Caragea, Jian Wu, Sujatha Das Gollapalli, C. Lee Giles:
  Document Type Classification in Online Digital Libraries. 3997-4002
• 
  Amir Elmishali, Roni Stern, Meir Kalech:
  Data-Augmented Software Diagnosis. 4003-4009
• 
  Arnaud Gotlieb, Mats Carlsson, Marius Liaaen, Dusica Marijan, Alexandre Petillon:
  Automated Regression Testing Using Constraint Programming. 4010-4015
• 
  Pejman Khadivi, Naren Ramakrishnan:
  Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior. 4016-4021
• 
  Alan Kinsella, Alan F. Smeaton, Barry Hurley, Barry O'Sullivan, Helmut Simonis:
  Optimizing Energy Costs in a Zinc and Lead Mine. 4022-4027
• 
  Abha Moitra, Ravi Palla, Arvind Rangarajan:
  Automated Capture and Execution of Manufacturability Rules Using Inductive Logic Programming. 4028-4034
• 
  Kishore Neppalli, Cornelia Caragea, Robin Mayes, Kim Nimon, Fred Oswald:
  MetaSeer.STEM: Towards Automating Meta-Analyses. 4035-4040
• 
  John Robertson, Vivin Paliath, Jana Shakarian, Amanda Thart, Paulo Shakarian:
  Data Driven Game Theoretic Cyber Threat Mitigation. 4041-4046
• 
  Ronny Shalev, Daisuke Nakamura, Setsu Nishino, Andrew M. Rollins, Hiram G. Bezerra, David L. Wilson, Soumya Ray:
  Automated Volumetric Intravascular Plaque Classification Using Optical Coherence Tomography (OCT). 4047-4052
• 
  Mai Winstrup:
  A Hidden Markov Model Approach to Infer Timescales for High-Resolution Climate Archives. 4053-4061

Innovative Applications Challenge Problem Papers

• 
  Han Yu, Chunyan Miao, Zhiqi Shen, Jun Lin, Cyril Leung, Qiang Yang:
  Infusing Human Factors into Algorithmic Crowdsourcing. 4062-4064

EAAI Symposium Full Paper

• 
  Robert Arrington, Clay Langley, Steven Bogaerts:
  Using Domain Knowledge to Improve Monte-Carlo Tree Search Performance in Parameterized Poker Squares. 4065-4070
• 
  Karo Castro-Wunsch, William Maga, Calin Anton:
  BeeMo, a Monte Carlo Simulation Agent for Playing Parameterized Poker Squares. 4071-4074
• 
  G. Devi, Charu Chauhan, Sutanu Chakraborti:
  Conceptualizing Curse of Dimensionality with Parallel Coordinates. 4075-
• 
  Yolanda Gil:
  Teaching Big Data Analytics Skills with Intelligent Workflow Systems. 3997-4088
• 
  Ashok K. Goel, David A. Joyner:
  Design of an Online Course on Knowledge-Based AI. 4089-4094
• 
  Todd W. Neller, Colin M. Messinger, Zuozhi Yang:
  Learning and Using Hand Abstraction Values for Parameterized Poker Squares. 4095-4100
• 
  Sameer Singh, Sebastian Riedel:
  Creating Interactive and Visual Educational Resources for AI. 4101-4106
• 
  Nicole Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe:
  From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences. 4107-4112
• 
  Lisa Torrey, Karen Johnson, Sid Sondergard, Pedro Ponce, Laura Desmond:
  The Turing Test in the Classroom. 4113-4118
• 
  Michael Wollowski, Robert Selkowitz, Laura E. Brown, Ashok K. Goel, George Luger, Jim Marshall, Andrew Neel, Todd W. Neller, Peter Norvig:
  A Survey of Current Practice and Teaching of AI. 4119-4125

EAAI Symposium Poster Paper

• 
  Harald Burgsteiner, Martin Kandlhofer, Gerald Steinbauer:
  IRobot: Teaching the Basics of Artificial Intelligence in High Schools. 4126-4127
• 
  Raghuram Ramanujan:
  A.I. as an Introduction to Research Methods in Computer Science. 4128-4129
• 
  Christian Reotutar, Mbathio Diagne, Evgenii Balai, Edward Wertz, Peter Lee, Shao-Lon Yeh, Yuanlin Zhang:
  An Online Logic Programming Development Environment. 4130-4131
• 
  Maritza Reyes, Cynthia Perez, Rocky Upchurch, Timothy Yuen, Yuanlin Zhang:
  Using Declarative Programming in an Introductory Computer Science Course for High School Students. 4132-4133
• 
  Oscar Veliz, Marcus Gutierrez, Christopher Kiekintveld:
  Teaching Automated Strategic Reasoning Using Capstone Tournaments. 4134-4135
• 
  Michael Wollowski:
  Training Watson - A Cognitive Systems Course. 4136-4138

EAAI Symposium Model AI Assignments

• 
  Todd W. Neller, Laura E. Brown, James B. Marshall, Lisa Torrey, Nate Derbinsky, Andrew A. Ward, Thomas E. Allen, Judy Goldsmith, Nahom Muluneh:
  Model AI Assignments 2016. 4139-4141

Senior Member Blue Sky Papers

• 
  David H. Ackley:
  Indefinite Scalability for Living Computation. 4142-4146
• 
  Joshua Greene, Francesca Rossi, John Tasioulas, Kristen Brent Venable, Brian Charles Williams:
  Embedding Ethical Principles in Collective Decision Support Systems. 4147-4151
• 
  Don Perlis:
  Five Dimensions of Reasoning in the Wild. 4152-4156
• 
  Oliviero Stock, Marco Guerini, Fabio Pianesi:
  Ethical Dilemmas for Adaptive Persuasion Systems. 4157-4162

Senior Member Summary Talks

• 
  Jeff Heflin, Dezhao Song:
  Ontology Instance Linking: Towards Interlinked Knowledge Graphs. 4163-4169
• 
  Diane J. Litman:
  Natural Language Processing for Enhancing Teaching and Learning. 4170-4176
• 
  Toby Walsh:
  Strategic Behaviour When Allocating Indivisible Goods. 4177-4183
• 
  Michael Wooldridge, Julian Gutierrez, Paul Harrenstein, Enrico Marchioni, Giuseppe Perelli, Alexis Toumi:
  Rational Verification: From Model Checking to Equilibrium Checking. 4184-4191

Student Abstracts

• 
  Ofra Amir, Barbara J. Grosz, Krzysztof Z. Gajos:
  MIP-Nets: Enabling Information Sharing in Loosely-Coupled Teamwork. 4192-4193
• 
  Hiromasa Arai, Ke Xu, Crystal Maung, Haim Schweitzer:
  Weighted A* Algorithms for Unsupervised Feature Selection with Provable Bounds on Suboptimality. 4194-4195
• 
  Anjon Basak:
  Abstraction Using Analysis of Subgames. 4196-4197
• 
  Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi:
  Bayesian Markov Games with Explicit Finite-Level Types. 4198-4199
• 
  Peng Cheng, Ivan Lee, Li Li, Kuo-Kun Tseng, Jeng-Shyang Pan:
  BRBA: A Blocking-Based Association Rule Hiding Method. 4200-4201
• 
  Danuta Sorina Chisca, Mohamed Siala, Gilles Simonin, Barry O'Sullivan:
  A CP-Based Approach for Popular Matching. 4202-4203
• 
  Moinul Morshed Porag Chowdhury:
  Predicting Prices in the Power TAC Wholesale Energy Market. 4204-4205
• 
  Sam Dietrich, Kyle Lund, James C. Boerkoel:
  Robust Execution Strategies for Probabilistic Temporal Planning. 4206-4207
• 
  Tyler M. Frasca, Antonio G. Sestito, Craig Versek, Douglas E. Dow, Barry C. Husowitz, Nate Derbinsky:
  A Comparison of Supervised Learning Algorithms for Telerobotic Control Using Electromyography Signals. 4208-4211
• 
  Varun Gangal, Abhishek Narwekar, Balaraman Ravindran, Ramasuri Narayanam:
  Trust and Distrust Across Coalitions: Shapley Value Based Centrality Measures for Signed Networks (Student Abstract Version). 4212-
• 
  Zhenhao Ge, Yufang Sun, Mark J. T. Smith:
  Authorship Attribution Using a Neural Network Language Model. 4212-4213
• 
  Shuchu Han, Hong Qin:
  Structure Aware L1 Graph for Data Clustering. 4214-4215
• 
  Charmgil Hong, Milos Hauskrecht:
  Multivariate Conditional Outlier Detection and Its Clinical Application. 4216-4217
• 
  Heejin Jeong, Daniel D. Lee:
  Learning Complex Stand-Up Motion for Humanoid Robots. 4218-4219
• 
  Md. Abdul Kader, Sheikh Motahar Naim, Arnold P. Boedihardjo, M. Shahriar Hossain:
  Connecting the Dots Using Contextual Information Hidden in Text and Images. 4220-4221
• 
  Bilal Kartal, Ernesto Nunes, Julio Godoy, Maria L. Gini:
  Monte Carlo Tree Search for Multi-Robot Task Allocation. 4222-4223
• 
  Denys Katerenchuk, Andrew Rosenberg:
  Hierarchy Prediction in Online Communities. 4224-4225
• 
  Bopeng Li, Sougata Chaudhuri, Ambuj Tewari:
  Handling Class Imbalance in Link Prediction Using Learning to Rank Techniques. 4226-4227
• 
  Manling Li, Yantao Jia, Yuanzhuo Wang, Zeya Zhao, Xueqi Cheng:
  Predicting Links and Their Building Time: A Path-Based Approach. 4228-4229
• 
  Xin Li, Yanghui Rao, Yanjia Chen, Xuebo Liu, Huan Huang:
  Social Emotion Classification via Reader Perspective Weighted Model. 4230-4231
• 
  Jiang Liu, Chenqiang Gao, Deyu Meng, Wangmeng Zuo:
  Two-Stream Contextualized CNN for Fine-Grained Image Classification. 4232-4233
• 
  Mazen Melibari, Pascal Poupart, Prashant Doshi:
  Decision Sum-Product-Max Networks. 4234-4235
• 
  Shuai Mi, Xiaozhao Zhao, Yuexian Hou, Peng Zhang, Wenjie Li, Dawei Song:
  Iterative Project Quasi-Newton Algorithm for Training RBM. 4236-4237
• 
  Atena M. Tabakhi:
  Pseudo-Tree Construction Heuristics for DCOPs with Variable Communication Times. 4238-4239
• 
  Kyeong-Min Nam, Yu-Seop Kim:
  A Word Embedding and a Josa Vector for Korean Unsupervised Semantic Role Induction. 4240-4241
• 
  Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe:
  Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm. 4242-4243
• 
  Kaneharu Nishino, Mary Inaba:
  Bayesian AutoEncoder: Generation of Bayesian Networks with Hidden Nodes for Features. 4244-4245
• 
  Erin Paeng, Jane Wu, James C. Boerkoel:
  Human-Robot Trust and Cooperation Through a Game Theoretic Framework. 4246-4247
• 
  Zhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung:
  Efficient Collaborative Crowdsourcing. 4248-4249
• 
  Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
  SPAN: Understanding a Question with Its Support Answers. 4250-4251
• 
  Dominik Peters:
  Towards Structural Tractability in Hedonic Games. 4252-4253
• 
  Wiktor Mateusz Piotrowski, Maria Fox, Derek Long, Daniele Magazzeni, Fabio Mercorio:
  Heuristic Planning for Hybrid Systems. 4254-4255
• 
  Fuan Pu, Jian Luo, Guiming Luo:
  Counter-Transitivity in Argument Ranking Semantics. 4256-4257
• 
  Amirmohammad Rooshenas, Daniel Lowd:
  Discriminative Structure Learning of Arithmetic Circuits. 4258-4259
• 
  Enrico Santus, Alessandro Lenci, Tin-Shing Chiu, Qin Lu, Chu-Ren Huang:
  Unsupervised Measure of Word Similarity: How to Outperform Co-Occurrence and Vector Cosine in VSMs. 4260-4261
• 
  Enrico Santus, Alessandro Lenci, Tin-Shing Chiu, Qin Lu, Chu-Ren Huang:
  ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms. 4262-4263
• 
  Shawn Squire, Marie desJardins:
  Abstracting Complex Domains Using Modular Object-Oriented Markov Decision Processes. 4264-4265
• 
  Ashwini Kishore Tonge, Cornelia Caragea:
  Image Privacy Prediction Using Deep Features. 4266-4267
• 
  Oscar Samuel Veliz:
  Evaluating the Robustness of Game Theoretic Solutions When Using Abstraction. 4268-4269
• 
  Tong Wang, Ping Chen, John Rochford, Jipeng Qiang:
  Text Simplification Using Neural Machine Translation. 4270-4271
• 
  Yiqi Wang, Huiying Ma, Nichola Lowe, Maryann Feldman, Charles Schmitt:
  Business Event Curation: Merging Human and Automated Approaches. 4272-4273
• 
  Jia Wu, Shirui Pan, Peng Zhang, Xingquan Zhu:
  Direct Discriminative Bag Mapping for Multi-Instance Learning. 4274-4275
• 
  Yingxiang Yang, Peter Widhalm, Shounak Athavale, Marta C. González:
  Mobility Sequence Extraction and Labeling Using Sparse Cell Phone Data. 4276-4277
• 
  Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang:
  Epitomic Image Super-Resolution. 4278-4279
• 
  Yang Yu, Xiaojun Wan:
  MicroScholar: Mining Scholarly Information from Chinese Microblogs. 4280-4281
• 
  Michael Zhai, Johnny Tan, Jinho D. Choi:
  Intrinsic and Extrinsic Evaluations of Word Embeddings. 4282-4283
• 
  Sicheng Zhao, Hongxun Yao, Wenlong Xie, Xiaolei Jiang:
  User-Centric Affective Computing of Image Emotion Perceptions. 4284-4285
• 
  Aakas Zhiyuli, Xun Liang, Xiaoping Zhou:
  Learning Structural Features of Nodes in Large-Scale Networks for Link Prediction. 4286-4288

Doctoral Consortium

• 
  Joseph A. Blass:
  Interactive Learning and Analogical Chaining for Moral and Commonsense Reasoning. 4289-4290
• 
  Sarah M. Brown:
  Machine Learning for Computational Psychology. 4291-4292
• 
  William Curran:
  Robust Learning from Demonstration Techniques and Tools. 4293-4294
• 
  Richard G. Freedman:
  Integrating Planning and Recognition to Close the Interaction Loop. 4295-4296
• 
  Matthew C. Gombolay:
  Apprenticeship Scheduling for Human-Robot Teams. 4297-4298
• 
  Nadin Kökciyan:
  Privacy Management in Agent-Based Social Networks. 4299-4300
• 
  Wen-Yu Lee:
  Multi-Modal Learning over User-Contributed Content from Cross-Domain Social Media. 4301-4302
• 
  Michael A. Leece:
  Unsupervised Learning of HTNs in Complex Adversarial Domains. 4303-4304
• 
  Junyi Jessy Li:
  Estimating Text Intelligibility via Information Packaging Analysis. 4305-4306
• 
  Anqi Liu:
  Robust Classification under Covariate Shift with Application to Active Learning. 4307-4308
• 
  Clifton James McFate:
  Analogical Generalization of Linguistic Constructions. 4309-4310
• 
  Melissa Roemmele:
  Writing Stories with Help from Recurrent Neural Networks. 4311-4342
• 
  Somdeb Sarkhel:
  Scaling-Up MAP and Marginal MAP Inference in Markov Logic. 4343-
• 
  Trevor Sarratt:
  Adapting Plans through Communication with Unknown Teammates. 4315-4316
• 
  Amar Viswanathan:
  Pragmatic Querying in Heterogeneous Knowledge Graphs. 4317-4318
• 
  Tom Williams:
  Architectural Mechanisms for Situated Natural Language Understanding in Uncertain and Open Worlds. 4319-4320
• 
  Sicheng Zhao, Hongxun Yao:
  Affective Computing and Applications of Image Emotion Perceptions. 4321-4323

What's Hot Papers

• 
  Joyce Yue Chai, Anoop Sarkar, Rada Mihalcea:
  What's Hot in Human Language Technology: Highlights from NAACL HLT 2015. 4324-4326
• 
  Martin Gebser, Marco Maratea, Francesco Ricca:
  What's Hot in the Answer Set Programming Competition. 4327-4329
• 
  Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto:
  Inductive Logic Programming: Challenges. 4330-4332
• 
  Shimei Pan, Oliver Brdiczka, Giuseppe Carenini, Duen Horng Chau, Per Ola Kristensson:
  What's Hot in Intelligent User Interfaces. 4333-4334
• 
  Diego Perez Liebana, Spyridon Samothrakis, Julian Togelius, Tom Schaul, Simon M. Lucas:
  General Video Game AI: Competition, Challenges and Opportunities. 4335-4337
• 
  Jochen Renz, Xiaoyu Ge, Rohan Verma, Peng Zhang:
  Angry Birds as a Challenge for Artificial Intelligence. 4338-4339
• 
  Roni Stern, Levi H. S. Lelis:
  What's Hot in Heuristic Search. 4340-4342
• 
  Michal Stolba, Antonín Komenda, Daniel L. Kovacs:
  Competition of Distributed and Multiagent Planners (CoDMAP). 4343-4345
• 
  Peter Stone:
  What's Hot at RoboCup. 4346-4348

Demonstration Papers

• 
  Mehul Bhatt, Jakob Suchan, Carl P. L. Schultz, Vasiliki Kondyli, Saurabh Goyal:
  Artificial Intelligence for Predictive and Evidence Based Architecture Design. 4349-4350
• 
  Ioannis Caragiannis, George A. Krimpas, Marianna Panteli, Alexandros A. Voudouris:
  co-rank: An Online Tool for Collectively Deciding Efficient Rankings Among Peers. 4351-4352
• 
  François Durand, Fabien Mathieu, Ludovic Noirie:
  SVVAMP: Simulator of Various Voting Algorithms in Manipulating Populations. 4353-4354
• 
  Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe:
  Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration). 4355-4356
• 
  Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Alfredo Kalaitzis, Michael Fagan, Dean Carignan, Nitin Gautam:
  Predicting Gaming Related Properties from Twitter Accounts. 4357-4358
• 
  Soujanya Lanka, Deepika Pathania, Pooja Kushalappa, Pradeep Varakantham:
  NLU Framework for Voice Enabling Non-Native Applications on Smart Devices. 4359-4360
• 
  Maikel León Espinosa, Gonzalo Nápoles Ruiz:
  Modeling and Experimentation Framework for Fuzzy Cognitive Maps. 4361-4362
• 
  Yoad Lewenberg, Yoram Bachrach, Ian A. Kash, Peter B. Key:
  Using Convolutional Neural Networks to Analyze Function Properties from Images. 4363-4364
• 
  Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi:
  Predicting Personal Traits from Facial Images Using Convolutional Neural Networks Augmented with Facial Landmark Information. 4365-4366
• 
  Min Li, Jingjing Wang, Wenzhu Tong, Hongkun Yu, Xiuli Ma, Yucheng Chen, Haoyan Cai, Jiawei Han:
  EKNOT: Event Knowledge from News and Opinions in Twitter. 4367-4368
• 
  Chen Liang, Shuting Wang, Zhaohui Wu, Kyle Williams, Bart Pursel, Benjamin Bräutigam, Sherwyn Saul, Hannah Williams, Kyle Bowen, C. Lee Giles:
  BBookX: Building Online Open Books for Personalized Learning. 4369-4370
• 
  Huijie Lin, Jia Jia, Jie Huang, Enze Zhou, Jingtian Fu, Yejun Liu, Huanbo Luan:
  Moodee: An Intelligent Mobile Companion for Sensing Your Stress from Your Social Media Postings. 4371-4372
• 
  Yuanchao Liu, Xin Wang, Ming Liu, Xiaolong Wang:
  Write-righter: An Academic Writing Assistant System. 4373-4374
• 
  Daniel Martin, Hongjian Ding, Leihong Wu, Howard Semey, Amy Barnes, Darryl Langley, Su Inn Park, Zhichao Liu, Weida Tong, Joshua Xu:
  An Image Analysis Environment for Species Identification of Food Contaminating Beetles. 4375-4376
• 
  Georgia Rossmann Martins, Mário Escarce Junior, Leandro Soriano Marcolino:
  Jikan to Kukan: A Hands-On Musical Experience in AI, Games and Art. 4377-4378
• 
  Hanumant Harichandra Redkar, Sudha Bhingardive, Kevin Patel, Pushpak Bhattacharyya, Neha Prabhugaonkar, Apurva Nagvenkar, Ramdas Karmali:
  WWDS APIs: Application Programming Interfaces for Efficient Manipulation of World WordNet Database Structure. 4379-4380
• 
  Louis Rosenberg:
  Artificial Swarm Intelligence, a Human-in-the-Loop Approach to A.I. 4381-4382
• 
  Ryan A. Rossi, Rong Zhou:
  Toward Interactive Relational Learning. 4383-4384
• 
  Robert Selkowitz, Jonathan Rodgers, P. J. Moskal, Jon Mrowczynski, Christine Colson:
  EDDIE: An Embodied AI System for Research and Intervention for Individuals with ASD. 4385-4386
• 
  Aidan Shafran, Sam Saarinen, Judy Goldsmith:
  A Tool to Graphically Edit CP-Nets. 4387-4388
• 
  Walid Shalaby, Kripa Rajshekhar, Wlodek Zadrozny:
  A Visual Semantic Framework for Innovation Analytics. 4389-4390
• 
  Zhiqi Shen, Han Yu, Chunyan Miao, Siyao Li, Yiqiang Chen:
  Multi-Agent System Development MADE Easy. 4391-4392
• 
  Yuliang Shi, Chenfei Sun, Qingzhong Li, Lizhen Cui, Han Yu, Chunyan Miao:
  A Fraud Resilient Medical Insurance Claim System. 4393-4394
• 
  Xiaokui Shu, Nikolay Laptev, Danfeng (Daphne) Yao:
  DECT: Distributed Evolving Context Tree for Understanding User Behavior Pattern Evolution. 4395-4396
• 
  Yuqing Tang, Nir Oren, Katia P. Sycara:
  Markov Argumentation Random Fields. 4397-4398
• 
  Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng:
  Shoot to Know What: An Application of Deep Networks on Mobile Devices. 4399-4400
• 
  Shu Wu, Qiang Liu, Ping Bai, Liang Wang, Tieniu Tan:
  SAPE: A System for Situation-Aware Public Security Evaluation. 4401-4402
• 
  Shu Wu, Qiang Liu, Yong Liu, Liang Wang, Tieniu Tan:
  Information Credibility Evaluation on Social Media. 4403-4404
• 
  Han Yu, Chunyan Miao, Siyuan Liu, Zhengxiang Pan, Nur Syahidah Bte Khalid, Zhiqi Shen, Cyril Leung:
  Productive Aging through Intelligent Personalized Crowdsourcing. 4405-